A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
See the codeA curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
We have an interactive dashboard to view/filter/search the papers listed in this repo.
To facilitate deep research, we developed a local RAG-based LLM chatbot with 250 publicly accessible papers. Please refer to the project README on how to deploy this chatbot for personal use.
Table of Contents
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2026 | TransactionGPT | KDD 2026 | Link | Link |
| 2026 | SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection | arXiv 2026 | Link | Link |
| 2026 | Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection | arXiv 2026 | Link | Link |
| 2026 | Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection | arXiv 2026 | Link | Link |
| 2026 | UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains | arXiv 2026 | Link | Link |
| 2026 | PRAGMA: Revolut Foundation Model | arXiv 2026 | Link | Link |
| 2026 | Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning | AAAI 2026 | Link | Link |
| 2026 | DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs | AAAI 2026 | Link | Link |
| 2026 | Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection | arXiv 2026 | Link | Link |
| 2026 | LLM-Assisted Logic Rule Learning: Scaling Human Expertise for Time Series Anomaly Detection | arXiv 2026 | Link | Link |
| 2026 | Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection | arXiv 2026 | Link | Link |
| 2026 | Ahead of the Spread: Agent-Driven Virtual Propagation for Early Fake News Detection | arXiv 2026 | Link | Link |
| 2026 | Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection | ACL 2026 | Link | Link |
| 2026 | TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding | KDD 2026 | Link | Link |
| 2026 | When graph anomaly breaks the coherence: A multi-evidence approach with language models | Expert Systems with Applications | Link | Link |
| 2026 | DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs | AAAI 2026 | Link | Link |
| 2025 | Open Banking Foundational Model: Learning Language Representations from Few Financial Transactions | arXiv 2025 | Link | Link |
| 2025 | SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management | arXiv 2025 | Link | Link |
| 2025 | PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling | NeurIPS 2025 | Link | Link |
| 2025 | AuditCopilot: Leveraging LLMs for Fraud Detection in Double-Entry Bookkeeping | NeurIPS 2025 Workshop | Link | Link |
| 2025 | OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs | ACM CCS 2025 | Link | Link |
| 2025 | LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning | arXiv 2025 | Link | Link |
| 2025 | Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings | EMNLP 2025 | Link | Link |
| 2025 | LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis | arXiv 2025 | Link | Link |
| 2025 | Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network | arXiv 2025 | Link | Link |
| 2025 | Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection | ACM MM 2025 | Link | Link |
| 2025 | GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model | KDD 2025 | Link | Link |
| 2025 | FLAG: Fraud Detection with LLM-enhanced Graph Neural Network | KDD 2025 | Link | Link |
| 2025 | Automated graph anomaly detection with large language models | Knowledge-Based Systems | Link | Link |
| 2025 | Fraud-R1: A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements | ACL 2025 | Link | Link |
| 2025 | Large Language Models for Tabular Anomaly Detection | ICLR 2025 | Link | Link |
| 2024 | Anomaly Detection of Tabular Data Using LLMs | IJCAI 2024 Workshop | Link | Link |
| 2023 | Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences | ICAIF 2023 | Link | Link |
| 2023 | FinGPT: Open-Source Financial Large Language Models | IJCAI 2023 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2026 | Population-Calibrated Graph Screening at 835-Million-Address Scale, with Label-Free Transfer to New Chains | SSRN 2026 | Link | Link |
| 2026 | Efficient Densest Flow Queries in Transaction Flow Networks | IEEE TKDE 2026 | Link | Link |
| 2026 | Noise-Filtering Enhanced Graph Transformer for Robust Fake News Detection | IEEE TKDE 2026 | Link | Link |
| 2026 | Learning Feature Encoder With Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection | IEEE TKDE 2026 | Link | Link |
| 2026 | Evolutionary-Optimized Graph Neural Network for Fraud Detection With Topological Obfuscation | IEEE TEVC 2026 | Link | Link |
| 2026 | Exposing Disguises and Tracing Illicit Flows: Dual-View Graph Representation Learning for Money Laundering Detection | IEEE TCSS 2026 | Link | Link |
| 2026 | CamFD: Semi-Supervised Camouflage-Aware Fraud Detection Based on Dynamic Graphs | IEEE TSMC 2026 | Link | Link |
| 2026 | Defending Attacks on Anti-Fraud Model With Generative Graph Representations | IEEE TKDE 2026 | Link | Link |
| 2026 | SURE-GNN: Subgraph-Level Graph Neural Network Against Heterophily for Fraud Detection | IEEE TCSS | Link | Link |
| 2026 | Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection | arXiv 2026 | Link | Link |
| 2026 | L2IR: Revealing Latent Intent in Graph Fraud Detection | arXiv 2026 | Link | Link |
| 2026 | NeighborDiv: Training-free Zero-shot Generalist Graph Anomaly Detection via Neighbor Diversity | arXiv 2026 | Link | Link |
| 2026 | CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection | IJCAI 2026 | Link | Link |
| 2026 | Graph-Based Fraud Detection with Dual-Path Graph Filtering | arXiv 2026 | Link | Link |
| 2026 | Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection | TheWebConf 2026 | Link | Link |
| 2026 | STG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay | TheWebConf 2026 | Link | Link |
| 2026 | Dual-level Reweighting for Positive-Unlabeled Graph Classification | TheWebConf 2026 | Link | Link |
| 2026 | HCSL: Rumor Detection by Integrating Intra-Sample Curriculum Learning and Hierarchical Semantic Learning | TheWebConf 2026 | Link | Link |
| 2026 | Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning | TheWebConf 2026 | Link | Link |
| 2026 | PAGE: Progressive Anomaly Generation Network for Semi-supervised Graph Anomaly Detection | TheWebConf 2026 | Link | Link |
| 2026 | Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach | TheWebConf 2026 | Link | Link |
| 2026 | GRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms | TheWebConf 2026 | Link | Link |
| 2026 | TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems | arXiv 2026 | Link | Link |
| 2026 | Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection | AAAI 2026 | Link | Link |
| 2026 | SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs | AAAI 2026 | Link | Link |
| 2026 | BAG: Benchmarking Anomaly Detection on Dynamic Graphs | AAAI 2026 | Link | Link |
| 2026 | Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision | arXiv 2026 | Link | Link |
| 2026 | Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts | arXiv 2026 | Link | Link |
| 2026 | Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection | KDD 2026 | Link | Link |
| 2026 | Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms | KDD 2026 | Link | Link |
| 2026 | CamFD: Semi-Supervised Camouflage-Aware Fraud Detection Based on Dynamic Graphs | IEEE TSMC | Link | Link |
| 2026 | PromoGuardian: Detecting Promotion Abuse Fraud with Multi-Relation Fused Graph Neural Networks | IEEE S&P 2026 | Link | Link |
| 2026 | Multi-faceted consistency data augmentation for graph anomaly detection | Information Processing & Management | Link | Link |
| 2026 | Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time | AAAI 2026 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2025 | Semi-supervised Graph Anomaly Detection via Robust Homophily Learning | NeurIPS 2025 | Link | Link |
| 2025 | IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning | NeurIPS 2025 | Link | Link |
| 2025 | Conditional Diffusion Anomaly Modeling on Graphs | NeurIPS 2025 | Link | Link |
| 2025 | Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup | NeurIPS 2025 | Link | Link |
| 2025 | Neighbor-enhanced Graph Pre-training and Prompt Learning Framework for Fraud Detection | ACM CIKM 2025 | Link | Link |
| 2025 | FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection | ACM CIKM 2025 | Link | Link |
| 2025 | Breaking Semantic Barriers: A Zero-Shot Generalized Framework for Graph Anomaly Detection | ACM MM 2025 | Link | Link |
| 2025 | Combining Euclidean and Hyperbolic Representations for Node-level Anomaly Detection | arXiv 2025 | Link | Link |
| 2025 | RoBCtrl: Attacking GNN-Based Social Bot Detectors via Reinforced Manipulation of Bots Control Interaction | arXiv 2025 | Link | Link |
| 2025 | SparseFraudNet: A Graph-based Approach for Cold-start Fraud Detection with Information Aggregation | ACM TOIS | Link | Link |
| 2025 | Address Anomalies at Critical Crossroads for Graph Anomaly Detection | IEEE TKDE | Link | Link |
| 2025 | Multi-Temporal Partitioned Graph Attention Networks for Financial Fraud Detection | IEEE TIFS | Link | Link |
| 2025 | GRASPED: Graph Anomaly Detection using Autoencoder with Spectral Encoder and Decoder | ECAI 2025 | Link | Link |
| 2025 | Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection | ECAI 2025 | Link | Link |
| 2025 | Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning | ECAI 2025 | Link | Link |
| 2025 | CRoC: Context Refactoring Contrast for Graph Anomaly Detection with Limited Supervision | ECAI 2025 | Link | Link |
| 2025 | Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection | KDD 2025 | Link | Link |
| 2025 | AffinityTune: A Prompt-Tuning Framework for Few-Shot Anomaly Detection on Graphs | KDD 2025 | Link | Link |
| 2025 | AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection | KDD 2025 | Link | Link |
| 2025 | Graph Evidential Learning for Anomaly Detection | KDD 2025 | Link | Link |
| 2025 | Robustness Evaluation of Graph-based News Detection Using Network Structural Information | KDD 2025 | Link | Link |
| 2025 | TFGIN: Tight-Fitting Graph Inference Network for Table-based Fact Verification | ACM TOIS | Link | Link |
| 2025 | NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection | IJCAI 2025 | Link | Link |
| 2025 | GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection | IJCAI 2025 | Link | Link |
| 2025 | MEGAD: a memory-efficient framework for large-scale attributed graph anomaly detection | IJCAI 2025 | Link | Link |
| 2025 | Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning | IJCAI 2025 | Link | Link |
| 2025 | Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection | ACM TKDD | Link | Link |
| 2025 | A Robust Graph Fraud Detection Model Based on Adversarial Reweighting | IEEE TCSS | Link | Link |
| 2025 | BotTrans: A Multi-source Graph Domain Adaptation Approach for Social Bot Detection | ECML PKDD 2025 | Link | Link |
| 2025 | Latent Representation Learning for Attributed Graph Anomaly Detection | ACM TKDD | Link | Link |
| 2025 | Tailored Bipartite Graph Anomaly Detection via Fixed-Attention Network | PAKDD | Link | Link |
| 2025 | OR-Gate Mixup Multiscale Spectral Graph Neural Network for Node Anomaly Detection | IEEE TNNLS | Link | Link |
| 2025 | Heterophily learning and global–local dependencies enhanced multi-view representation learning for graph anomaly detection | Knowledge-Based Systems | Link | Link |
| 2025 | Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection | arXiv 2025 | Link | Link |
| 2025 | Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection | IEEE TNNLS | Link | Link |
| 2025 | GE-GNN: Gated Edge-Augmented Graph Neural Network for Fraud Detection | IEEE TBD | Link | Link |
| 2025 | Anomaly Detection via Graph Contrastive Learning | TheWebConf 2025 | Link | Link |
| 2025 | Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection | TheWebConf 2025 | Link | Link |
| 2025 | Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection | TheWebConf 2025 | Link | Link |
| 2025 | Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection | TheWebConf 2025 | Link | Link |
| 2025 | Correlation Information Enhanced Graph Anomaly Detection via Hypergraph Transformation | TheWebConf 2025 | Link | Link |
| 2025 | Federated Graph Anomaly Detection via Disentangled Representation Learning | TheWebConf 2025 | Link | Link |
| 2025 | Cluster Aware Graph Anomaly Detection | TheWebConf 2025 | Link | Link |
| 2025 | SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection | TheWebConf 2025 | Link | Link |
| 2025 | Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark | ICLR 2025 | Link | Link |
| 2025 | SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels | ICLR 2025 | Link | Link |
| 2025 | Open-Set Graph Anomaly Detection via Normal Structure Regularisation | ICLR 2025 | Link | Link |
| 2025 | DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector | ICLR 2025 | Link | Link |
| 2025 | Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation | TKDE 2025 | Link | Link |
| 2025 | CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection | arXiv 2025 | Link | Link |
| 2025 | Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks | TKDE 2025 | Link | Link |
| 2025 | Nowhere to H2IDE: Fraud Detection From Multi-Relation Graphs via Disentangled Homophily and Heterophily Identification | TKDE 2025 | Link | Link |
| 2025 | Towards Fraud Detection Via Fine-Grained Classification of User Behavior | TBD 2025 | Link | Link |
| 2025 | Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives | TKDE 2025 | Link | Link |
| 2025 | Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection | AAAI 2025 | Link | Link |
| 2025 | Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective | AAAI 2025 | Link | Link |
| 2025 | Dynamic Spectral Graph Anomaly Detection | AAAI 2025 | Link | Link |
| 2025 | A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection | AAAI 2025 | Link | Link |
| 2025 | Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors | AAAI 2025 | Link | Link |
| 2025 | A Generalizable Anomaly Detection Method in Dynamic Graphs | AAAI 2025 | Link | Link |
| 2025 | Global Attribute-Association Pattern Aggregation for Graph Fraud Detection | AAAI 2025 | Link | Link |
| 2025 | UMGAD: Unsupervised Multiplex Graph Anomaly Detection | ICDE 2025 | Link | Link |
| 2025 | BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs | ICDE 2025 | Link | Link |
| 2025 | Catch Me If You Can: A Multi-Agent Synthetic Fraud Detection Framework for Complex Networks | ICDE 2025 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2024 | Fund transfer fraud detection: Analyzing irregular transactions and customer relationships with self-attention and graph neural networks | Expert Systems with Applications 2024 | Link | Link |
| 2024 | UniGAD: Unifying Multi-level Graph Anomaly Detection | NeurIPS 2024 | Link | Link |
| 2024 | Context Correlation Discrepancy Analysis for Graph Anomaly Detection | IEEE TKDE 2024 | Link | Link |
| 2024 | ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection | ICAIF 2024 | Link | Link |
| 2024 | Bots Shield Fake News: Adversarial Attack on User Engagement based Fake News Detection | CIKM 2024 | Link | Link |
| 2024 | Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation | CIKM 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Adaptive Node Mixup | CIKM 2024 | Link | Link |
| 2024 | A Structural Information Guided Hierarchical Reconstruction for Graph Anomaly Detection | CIKM 2024 | Link | Link |
| 2024 | Graph Local Homophily Network for Anomaly Detection | CIKM 2024 | Link | Link |
| 2024 | Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs | CIKM 2024 | Link | Link |
| 2024 | LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection | CIKM 2024 | Link | Link |
| 2024 | Collaborative Fraud Detection on Large Scale Graph Using Secure Multi-Party Computation | CIKM 2024 | Link | Link |
| 2024 | Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts | arXiv 2024 | Link | Link |
| 2024 | A Universal Adaptive Algorithm for Graph Anomaly Detection | Elsevier IPM 2024 | Link | Link |
| 2024 | Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer | TKDE 2024 | Link | Link |
| 2024 | Do not ignore heterogeneity and heterophily: Multi-network collaborative telecom fraud detection | Expert Systems with Applications 2024 | Link | Link |
| 2024 | Connecting the Dots: Graph Neural Networks for Auditing Accounting Journal Entries | SSRN 2024 | Link | |
| 2024 | Spatial-Temporal-Aware Graph Transformer for Transaction Fraud Detection | IEEE TII 2024 | Link | Link |
| 2024 | Heterophilic Graph Invariant Learning for Out-of-Distribution of Fraud Detection | ACM MM 2024 | Link | Link |
| 2024 | IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews | IEEE TAI 2024 | Link | Link |
| 2024 | EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs | DASFAA 2024 | Link | Link |
| 2024 | Spoofing Transaction Detection with Group Perceptual Enhanced Graph Neural Network | ECML PKDD 2024 | Link | Link |
| 2024 | MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection | DSAA 2024 | Link | Link |
| 2024 | Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection | KDD 2024 | Link | Link |
| 2024 | SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning | KDD 2024 | Link | Link |
| 2024 | VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection | KDD 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Few Labels: A Data-Centric Approach | KDD 2024 | Link | Link |
| 2024 | Effective High-order Graph Representation Learning for Credit Card Fraud Detection | IJCAI 2024 | Link | Link |
| 2024 | Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach | IJCAI 2024 | Link | Link |
| 2024 | Global Confidence Degree Based Graph Neural Network for Financial Fraud Detection | arXiv 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Noisy Labels by Reinforcement Learning | arXiv 2024 | Link | Link |
| 2024 | DOS-GNN: Dual-Feature Aggregations with Over-Sampling for Class-Imbalanced Fraud Detection On Graphs | IJCNN 2024 | Link | Link |
| 2024 | TFD-GCL: Telecommunications Fraud Detection Based on Graph Contrastive Learning with Adaptive Augmentation | IJCNN 2024 | Link | Link |
| 2024 | Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection | IJCNN 2024 | Link | Link |
| 2024 | TA-Detector: A GNN-based Anomaly Detector via Trust Relationship | ACM TMCCA 2024 | Link | Link |
| 2024 | TFD:Trust-Based Fraud Detection in SIoT With Graph Convolutional Networks | IEEE TCE 2024 | Link | Link |
| 2024 | Counterfactual Data Augmentation With Denoising Diffusion for Graph Anomaly Detection | IEEE TCSS 2024 | Link | Link |
| 2024 | HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | GLADformer: A Mixed Perspective for Graph-level Anomaly Detection | ECML PKDD 2024 | Link | Link |
| 2024 | Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement | arXiv 2024 | Link | Link |
| 2024 | Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs | TMLR 2024 | Link | Link |
| 2024 | ARC: A Generalist Graph Anomaly Detector with In-Context Learning | NeurIPS 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Domain-Agnostic Pre-Training and Few-Shot Adaptation | IEEE ICDE 2024 | Link | Link |
| 2024 | Parallel Graph Learning with Temporal Stamp Encoding for Fraudulent Transactions Detections | IEEE TBD 2024 | Link | Link |
| 2024 | Dispelling the Fake: Social Bot Detection Based on Edge Confidence Evaluation | IEEE TNNLS 2024 | Link | Link |
| 2024 | Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters | TheWebConf 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Bi-level Optimization | TheWebConf 2024 | Link | Link |
| 2024 | Heterogeneous Subgraph Transformer for Fake News Detection | TheWebConf 2024 | Link | Link |
| 2024 | Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training | LREC-COLING 2024 | Link | Link |
| 2024 | Multi-task Contrastive Learning for Anomaly Detection on Attributed Networks | PAKDD 2024 | Link | Link |
| 2024 | TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media | PAKDD 2024 | Link | Link |
| 2024 | Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | Revisiting Attack-caused Structural Distribution Shift in Graph Anomaly Detection | IEEE TKDE 2024 | Link | Link |
| 2024 | F2GNN: An Adaptive Filter with Feature Segmentation for Graph-Based Fraud Detection | ICASSP 2024 | Link | Link |
| 2024 | RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection | arXiv 2024 | Link | Link |
| 2024 | CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks | arXiv 2024 | Link | Link |
| 2024 | Generative Semi-supervised Graph Anomaly Detection | NeurIPS 2024 | Link | Link |
| 2024 | Multitask Active Learning for Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | Provably Powerful Graph Neural Networks for Directed Multigraphs | AAAI 2024 | Link | Link |
| 2024 | Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection | AAAI 2024 | Link | Link |
| 2024 | Barely Supervised Learning for Graph-Based Fraud Detection | AAAI 2024 | Link | Link |
| 2024 | ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection | AAAI 2024 | Link | Link |
| 2024 | Pre-trained Online Contrastive Learning for Insurance Fraud Detection | AAAI 2024 | Link | Link |
| 2024 | Towards Robust Rumor Detection with Graph Contrastive and Curriculum Learning | ACM TKDD 2024 | Link | Link |
| 2024 | Partitioning Message Passing for Graph Fraud Detection | ICLR 2024 | Link | Link |
| 2024 | Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision | ICLR 2024 | Link | Link |
| 2024 | Boosting Graph Anomaly Detection with Adaptive Message Passing | ICLR 2024 | Link | Link |
| 2024 | Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection | ICLR 2024 | Link | Link |
| 2024 | PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization | WSDM 2024 | Link | Link |
| 2024 | SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks | arXiv 2024 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2023 | Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks | LoG 2023 | Link | Link |
| 2023 | Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models | arXiv 2023 | Link | Link |
| 2023 | GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction | WSDM 2024 | Link | Link |
| 2023 | DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection | AAAI 2024 | Link | Link |
| 2023 | DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph | AAAI 2024 | Link | Link |
| 2023 | GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking | AAAI 2024 | Link | Link |
| 2023 | Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum | AAAI 2024 | Link | Link |
| 2023 | GADY: Unsupervised Anomaly Detection on Dynamic Graphs | AAAI 2024 | Link | Link |
| 2023 | Realistic Synthetic Financial Transactions for Anti-Money Laundering Models | NeurIPS 2023 | Link | Link |
| 2023 | GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection | NeurIPS 2023 | Link | Link |
| 2023 | GAD-EBM: Graph Anomaly Detection using Energy-Based Models | NeurIPS 2023 (GLFrontiers Workshop) | Link | Link |
| 2023 | Towards Self-Interpretable Graph-Level Anomaly Detection | NeurIPS 2023 | Link | Link |
| 2023 | Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection | NeurIPS 2023 | Link | Link |
| 2023 | Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection | ICDM 2023 Workshops | Link | Link |
| 2023 | Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection | ICDM 2023 | Link | Link |
| 2023 | RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks | Knowledge-Based Systems 2023 | Link | Link |
| 2023 | GoSage: Heterogeneous Graph Neural Network Using Hierarchical Attention for Collusion Fraud Detection | ACM ICAIF 2023 | Link | Link |
| 2023 | ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach | IEEE Bigdata 2023 | Link | Link |
| 2023 | SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily | CIKM 2023 | Link | Link |
| 2023 | THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks | CIKM 2023 | Link | Link |
| 2023 | Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks | CIKM 2023 | Link | Link |
| 2023 | Class Label-aware Graph Anomaly Detection | CIKM 2023 | Link | Link |
| 2023 | Generative Graph Augmentation for Minority Class in Fraud Detection | CIKM 2023 | Link | Link |
| 2023 | GraphFC: Customs Fraud Detection with Label Scarcity | CIKM 2023 | Link | Link |
| 2023 | Learning Node Abnormality with Weak Supervision | CIKM 2023 | Link | Link |
| 2023 | Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection | ACM MM 2023 | Link | Link |
| 2023 | Multi-modal Social Bot Detection: Learning Homophilic and Heterophilic Connections Adaptively | ACM MM 2023 | Link | Link |
| 2023 | Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection | arXiv 2023 | Link | Link |
| 2023 | ASA-GNN: Adaptive Sampling and Aggregation-Based Graph Neural Network for Transaction Fraud Detection | IEEE TCSS 2023 | Link | Link |
| 2023 | Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks | ACM TWEB 2023 | Link | Link |
| 2023 | GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection | IEEE ICKG 2023 | Link | Link |
| 2023 | FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection | IEEE DSAA 2023 | Link | Link |
| 2023 | Enabling Graph Neural Networks for Semi-Supervised Risk Prediction in Online Credit Loan Services | ACM TIST 2023 | Link | Link |
| 2023 | Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks | arXiv 2023 | Link | Link |
| 2023 | HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks | IEEE DSAA 2023 | Link | Link |
| 2023 | SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs | IJCAI 2023 | Link | Link |
| 2023 | Robust Graph Anomaly Detection via Neural Sparsification | IJCAI 2023 | Link | Link |
| 2023 | Don’t Ignore Alienation and Marginalization: Correlating Fraud Detection | IJCAI 2023 | Link | Link |
| 2023 | Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network | IJCAI 2023 | Link | Link |
| 2023 | Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network | IJCAI 2023 | Link | Link |
| 2023 | Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering | KDD 2023 | Link | Link |
| 2023 | DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection | KDD 2023 | Link | Link |
| 2023 | Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping | KDD 2023 | Link | Link |
| 2023 | Towards Reliable Rare Category Analysis on Graphs via Individual Calibration | KDD 2023 | Link | Link |
| 2023 | Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency | KDD 2023 | Link | Link |
| 2023 | Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection | KDD 2023 | Link | Link |
| 2023 | Group-based Fraud Detection Network on e-Commerce Platforms | KDD 2023 | Link | Link |
| 2023 | MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification | KDD 2023 | Link | Link |
| 2023 | Dynamic graph neural network-based fraud detectors against collaborative fraudsters | Knowledge-Based Systems 2023 | Link | Link |
| 2023 | Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph | arXiv 2023 | Link | Link |
| 2023 | Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach | arXiv 2023 | Link | Link |
| 2023 | Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer | arXiv 2023 | Link | Link |
| 2023 | Transaction Fraud Detection via an Adaptive Graph Neural Network | arXiv 2023 | Link | Link |
| 2023 | Heuristic Heterogeneous Graph Reasoning Networks for Fact Verification | IEEE TNNLS 2023 | Link | Link |
| 2023 | Anomaly Detection in Networks via Score-Based Generative Models | ICML 2023 Workshops | Link | Link |
| 2023 | Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs | IJCNN 2023 | Link | Link |
| 2023 | ConsE: Consistency Exploitation for Semi-Supervised Anomaly Detection in Graphs | IJCNN 2023 | Link | Link |
| 2023 | Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network | PAKDD 2023 | Link | Link |
| 2023 | Graph Contrastive Learning With Feature Augmentation for Rumor Detection | IEEE TCSS 2023 | Link | Link |
| 2023 | Fraud detection on multi-relation graphs via imbalanced and interactive learning | Information Sciences | Link | Link |
| 2023 | Anti-Money Laundering by Group-Aware Deep Graph Learning | IEEE TKDE | Link | Link |
| 2023 | Subgraph Centralization: A Necessary Step for Graph Anomaly Detection | SDM 2023 | Link | Link |
| 2023 | Abnormal Event Detection via Hypergraph Contrastive Learning | SDM 2023 | Link | Link |
| 2023 | Semi-Supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation | AAAI 2023 | Link | link |
| 2023 | TUAF: Triple-Unit-Based Graph-Level Anomaly Detection with Adaptive Fusion Readout | DASFAA 2023 | Link | Link |
| 2023 | DualFraud: Dual-Target Fraud Detection and Explanation in Supply Chain Finance Across Heterogeneous Graphs | DASFAA 2023 | Link | Link |
| 2023 | GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection | arXiv 2023 | Link | Link |
| 2023 | Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection | arXiv 2023 | Link | Link |
| 2023 | DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk | arXiv 2023 | Link | Link |
| 2023 | Towards Improved Illicit Node Detection with Positive-Unlabelled Learning | IEEE ICBC 2023 | Link | Link |
| 2023 | Counterfactual Graph Learning for Anomaly Detection on Attributed Networks | IEEE TKDE | Link | Link |
| 2023 | Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering | arXiv 2023 | Link | Link |
| 2023 | Energy-based Out-of-Distribution Detection for Graph Neural Networks | ICLR 2023 | Link | Link |
| 2023 | A Differential Geometric View and Explainability of GNN on Evolving Graphs | ICLR 2023 | Link | Link |
| 2023 | Attacking Fake News Detectors via Manipulating News Social Engagement | TheWebConf 2023 | Link | Link |
| 2023 | Label Information Enhanced Fraud Detection against Low Homophily in Graphs | TheWebConf 2023 | Link | Link |
| 2023 | Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum | TheWebConf 2023 | Link | Link |
| 2023 | LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection | IEEE TBD | Link | Link |
| 2023 | Multi-view co-attention network for fake news detection by modeling topic-specific user and news source credibility | Information Processing & Management | Link | Link |
| 2023 | Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms | arXiv 2023 | Link | Link |
| 2023 | RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation | arXiv 2023 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2022 | Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks | WSDM 2023 | Link | Link |
| 2022 | Alleviating Structural Distribution Shift in Graph Anomaly Detection | WSDM 2023 | Link | Link |
| 2022 | Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment | AAAI 2023 | Link | Link |
| 2022 | Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network | AAAI 2023 | Link | Link |
| 2022 | Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks | IEEE BigData 2022 | Link | Link |
| 2022 | Demystifying Bitcoin Address Behavior via Graph Neural Networks | ICDE 2023 | Link | Link |
| 2022 | Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction | NeurIPS 2022 Workshops | Link | Link |
| 2022 | EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain | ADMA 2022 | Link | Link |
| 2022 | Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection | NeurIPS 2022 | Link | Link |
| 2022 | Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method | ICDE 2023 | Link | Link |
| 2022 | SybilFlyover: Heterogeneous graph-based fake account detection model on social networks | Knowledge-Based Systems | Link | Link |
| 2022 | Guided Self-Training based Semi-Supervised Learning for Fraud Detection | ACM ICAIF 2022 | Link | Link |
| 2022 | LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering | ACM ICAIF 2022 | Link | Link |
| 2022 | The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection | ICDM 2022 | Link | Link |
| 2022 | GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media | ICDM 2022 | Link | Link |
| 2022 | DAGAD: Data Augmentation for Graph Anomaly Detection | ICDM 2022 | Link | Link |
| 2022 | Graph Anomaly Detection with Unsupervised GNNs | ICDM 2022 | Link | Link |
| 2022 | A Unified Propagation Forest-based Framework for Fake News Detection | COLING 2022 | Link | Link |
| 2022 | Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks | arXiv 2022 | Link | Link |
| 2022 | BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs | NeurIPS 2022 | Link | Link |
| 2022 | DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection | NeurIPS 2022 | Link | Link |
| 2022 | Dual-Augment Graph Neural Network for Fraud Detection | CIKM 2022 | Link | Link |
| 2022 | Explainable Graph-based Fraud Detection via Neural Meta-graph Search | CIKM 2022 | Link | Link |
| 2022 | Domain-Aware Federated Social Bot Detection with Multi-Relational Graph Neural Networks | IJCNN 2022 | Link | Link |
| 2022 | GCCAD: Graph Contrastive Coding for Anomaly Detection | IEEE TKDE 2022 | Link | Link |
| 2022 | Graph Neural Network for Fraud Detection via Spatial-Temporal Attention | IEEE TKDE 2022 | Link | Link |
| 2022 | Reinforcement Subgraph Reasoning for Fake News Detection | KDD 2022 | Link | Link |
| 2022 | ROLAND: Graph Learning Framework for Dynamic Graphs | KDD 2022 | Link | Link |
| 2022 | Hierarchical Multi-Modal Fusion on Dynamic Heterogeneous Graph for Health Insurance Fraud Detection | IEEE ICME 2022 | Link | Link |
| 2022 | Graph-Aware Deep Fusion Networks for Online Spam Review Detection | IEEE TCSS 2022 | Link | Link |
| 2022 | Modeling User Behavior With Interaction Networks for Spam Detection | SIGIR 2022 | Link | Link |
| 2022 | Table2Graph: Transforming Tabular Data to Unified Weighted Graph | IJCAI 2022 | Link | Link |
| 2022 | RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search | arXiv 2022 | Link | Link |
| 2022 | Rethinking Graph Neural Networks for Anomaly Detection | ICML 2022 | Link | Link |
| 2022 | Can Abnormality be Detected by Graph Neural Networks? | IJCAI 2022 | Link | Link |
| 2022 | Modelling graph dynamics in fraud detection with "Attention" | Preprint | Link | Link |
| 2022 | ALLIE: Active Learning on Large-scale Imbalanced Graphs | WWW 2022 | Link | Link |
| 2022 | H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections | WWW 2022 | Link | Link |
| 2022 | Prohibited Item Detection via Risk Graph Structure Learning | WWW 2022 | Link | Link |
| 2022 | TTAGN: Temporal Transaction Aggregation Graph Network For Ethereum Phishing Scams Detection | WWW 2022 | Link | Link |
| 2022 | AUC-oriented Graph Neural Network for Fraud Detection | WWW 2022 | Link | Link |
| 2022 | Bi-Level Selection via Meta Gradient for Graph-based Fraud Detection | DASFAA 2022 | Link | Link |
| 2022 | Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks | IEEE TNNLS 2022 | Link | Link |
| 2022 | Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection | arXiv 2022 | Link | Link |
| 2022 | BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising | ACM TOIS 2022 | Link | Link |
| 2022 | Inductive Graph Representation Learning for fraud detection | Expert Systems with Applications 2022 | Link | Link |
| 2022 | Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network | arXiv 2022 | Link | Link |
| 2022 | Markov-Driven Graph Convolutional Networks for Social Spammer Detection | IEEE TKDE 2022 | Link | Link |
| 2022 | Deep Graph Learning for Anomalous Citation Detection | IEEE TNNLS 2022 | Link | Link |
| 2022 | Towards Fine-Grained Reasoning for Fake News Detection | AAAI 2022 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2021 | eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks | ACM TOIS 2021 | Link | Link |
| 2021 | MAFI: GNN-based Multiple Aggregators and Feature Interactions Network for Fraud Detection over Heterogeneous Graph | IEEE TBD 2021 | Link | Link |
| 2021 | FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance | ICDM 2021 | Link | Link |
| 2021 | Fake Reviewer Group Detection in Online Review Systems | ICDM 2021 Workshop | Link | Link |
| 2021 | Temporal Graph Representation Learning for Detecting Anomalies in E-payment Systems | ICDM 2021 Workshop | Link | Link |
| 2021 | Know-GNN: An Explainable Knowledge-Guided Graph Neural Network for Fraud Detection | ICONIP 2021 | Link | Link |
| 2021 | TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors | arXiv 2021 | Link | Link |
| 2021 | Knowledge-Guided Fraud Detection Using Semi-supervised Graph Neural Network | WISE 2021 | Link | Link |
| 2021 | Deep Fraud Detection on Non-attributed Graph | IEEE BigData 2021 | Link | Link |
| 2021 | Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media | NeurIPS 2021 | Link | Link |
| 2021 | ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning | CIKM 2021 | Link | Link |
| 2021 | Prohibited Item Detection on Heterogeneous Risk Graphs | CIKM 2021 | Link | Link |
| 2021 | Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism | CIKM 2021 | Link | Link |
| 2021 | Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs | CIKM 2021 | Link | Link |
| 2021 | Action Sequence Augmentation for Early Graph-based Anomaly Detection | CIKM 2021 | Link | Link |
| 2021 | Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning | CIKM 2021 | Link | Link |
| 2021 | Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network | arXiv 2021 | Link | Link |
| 2021 | A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning | IEEE TNNLS 2021 | Link | Link |
| 2021 | Cross-domain Graph Anomaly Detection | IEEE TNNLS 2021 | Link | Link |
| 2021 | Recurrent Graph Neural Networks for Rumor Detection in Online Forums | KDD 2021 Workshop | Link | Link |
| 2021 | Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection | KDD 2021 | Link | Link |
| 2021 | Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection | KDD 2021 | Link | Link |
| 2021 | Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach | KDD 2021 | Link | Link |
| 2021 | Bipartite Dynamic Representations for Abuse Detection | KDD 2021 | Link | Link |
| 2021 | Relational Graph Neural Networks for Fraud Detection in a Super-App environment | KDD 2021 Workshop | Link | Link |
| 2021 | Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge | ACL 2021 | Link | Link |
| 2021 | Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection | ACL 2021 | Link | Link |
| 2021 | Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning | Information Processing & Management 2021 | Link | Link |
| 2021 | Decoupling Representation Learning and Classification for GNN-based Anomaly Detection | SIGIR 2021 | Link | Link |
| 2021 | Improving fake news detection with domain-adversarial and graph-attention neural network | Decision Support Systems | Link | Link |
| 2021 | Anomaly Detection in Dynamic Graphs via Transformer | arXiv 2021 | Link | Link |
| 2021 | HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features | arXiv 2021 | Link | Link |
| 2021 | Fraud Detection in Online Product Review Systems via Heterogeneous Graph Transformer | IEEE Access | Link | Link |
| 2021 | User Preference-aware Fake News Detection | SIGIR 2021 | Link | Link |
| 2021 | Temporal-Aware Graph Neural Network for Credit Risk Prediction | SDM 2021 | Link | Link |
| 2021 | IFSpard: An Information Fusion-based Framework for Spam Review Detection | WWW 2021 | Link | Link |
| 2021 | Improving Cyberbullying Detection with User Interaction | WWW 2021 | Link | Link |
| 2021 | Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection | WWW 2021 | Link | Link |
| 2021 | Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets | WSDM 2021 | Link | Link |
| 2021 | DeepIS: Susceptibility Estimation on Social Networks | WSDM 2021 | Link | Link |
| 2021 | Few-shot Network Anomaly Detection via Cross-network Meta-learning | WWW 2021 | Link | Link |
| 2021 | Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field | AAAI 2021 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2020 | Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning | IEEE TNNLS 2020 | link | link |
| 2020 | Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks | AAAI 2021 Workshop | Link | Link |
| 2020 | Phishing Scams Detection in Ethereum Transaction Network | ACM TOIT 2020 | Link | Link |
| 2020 | APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding | SIGMOD 2021 | Link | Link |
| 2020 | Anomaly Detection on Dynamic Bipartite Graph with Burstiness | ICDM 2020 | Link | Link |
| 2020 | Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market | ICDM 2020 | Link | Link |
| 2020 | Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection | ICDM 2020 | Link | Link |
| 2020 | Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection | ICDM 2020 | Link | Link |
| 2020 | xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs | arXiv 2021 | Link | Link |
| 2020 | BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising | CIKM 2020 | Link | Link |
| 2020 | Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment | CIKM 2020 | Link | Link |
| 2020 | Early Anomaly Detection by Learning and Forecasting Behavior | arXiv | Link | Link |
| 2020 | ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks | arXiv 2021 | Link | Link |
| 2020 | Multivariate Time-series Anomaly Detection via Graph Attention Network | ICDM 2020 | Link | Link |
| 2020 | GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising | Security and Communication Networks 2020 | Link | Link |
| 2020 | Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters | CIKM 2020 | Link | Link |
| 2020 | Graph-based Modeling of Online Communities for Fake News Detection | arXiv 2021 | Link | Link |
| 2020 | FANG: Leveraging Social Context for Fake News Detection Using Graph Representation | CIKM 2020 | Link | Link |
| 2020 | Loan Default Analysis with Multiplex Graph Learning | CIKM 2020 | Link | Link |
| 2020 | Error-Bounded Graph Anomaly Loss for GNNs | CIKM 2020 | Link | Link |
| 2020 | GCNEXT: graph convolutional network with expanded balance theory for fraudulent user detection | Social Network Analysis and Mining 2020 | Link | Link |
| 2020 | FauxWard: a graph neural network approach to fauxtography detection using social media comments | Social Network Analysis and Mining 2020 | Link | Link |
| 2020 | A Scalable Framework for Group Fraud Detection in Transaction using Deep Graph Neural Network | KDD 2020 Workshop | Link | Link |
| 2020 | Early Fraud Detection with Augmented Graph Learning | KDD 2020 Workshop | Link | Link |
| 2020 | TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook | KDD 2020 | Link | Link |
| 2020 | DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation | KDD 2020 | Link | Link |
| 2020 | Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection | SIGIR 2020 | Link | Link |
| 2020 | GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media | ACL 2020 | Link | Link |
| 2020 | Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning | ACL 2020 | Link | Link |
| 2020 | DFraud3-Multi-Component Fraud Detection free of Cold-start | arXiv 2021 | Link | Link |
| 2020 | Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining | IJCAI 2020 | Link | Link |
| 2020 | Rumor Detection on Social Media with Graph Structured Adversarial Learning | IJCAI 2020 | Link | Link |
| 2020 | GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection | SIGIR 2020 | Link | Link |
| 2020 | ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks | WWW 2020 Workshop | Link | Link |
| 2020 | Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection | AAAI 2020 | Link | Link |
| 2020 | Interpretable Rumor Detection in Microblogs by Attending to User Interactions | AAAI 2020 | Link | Link |
| 2020 | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks | AAAI 2020 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2019 | Spam Review Detection with Graph Convolutional Networks | CIKM 2019 | Link | Link |
| 2019 | A Semi-supervised Graph Attentive Network for Fraud Detection | ICDM 2019 | Link | Link |
| 2019 | Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation | EMNLP 2019 | Link | Link |
| 2019 | Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics | KDD 2019 Workshop | Link | Link |
| 2019 | Uncovering Insurance Fraud Conspiracy with Network Learning | SIGIR 2019 | Link | Link |
| 2019 | Detect Me If You Can: Spam Bot Detection Using Inductive Representation Learning | WWW 2019 Workshop | Link | Link |
| 2019 | FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System | WWW 2019 Workshop | Link | Link |
| 2019 | GeniePath: Graph Neural Networks with Adaptive Receptive Paths | AAAI 2019 | Link | Link |
| 2018 | Heterogeneous Graph Neural Networks for Malicious Account Detection | CIKM 2018 | Link | Link |
| 2018 | GraphRAD: A Graph-based Risky Account Detection System | KDD 2018 Workshop | Link | Link |
| 2018 | Selective Graph Attention Networks for Account Takeover Detection | ICDM 2018 Workshop | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2025 | BMI-GP: Unsupervised Breach Merchant Identification via Adaptive Graph Pruning | ICAIF 2025 | Link | Link |
| 2025 | MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection | arXiv 2025 | Link | Link |
| 2025 | Bursting Flow Query on Large Temporal Flow Networks | SIGMOD 2025 | Link | Link |
| 2025 | Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs | SIGMOD 2025 | Link | Link |
| 2025 | Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability | SIGMOD 2025 | Link | Link |
| 2024 | Benchmarking Fraud Detectors on Private Graph Data | KDD 2025 | Link | Link |
| 2024 | RUSH: Real-Time Burst Subgraph Detection in Dynamic Graphs | VLDB 2024 | Link | Link |
| 2024 | Spade+: A Generic Real-Time Fraud Detection Framework on Dynamic Graphs | IEEE TKDE 2024 | Link | Link |
| 2024 | FiFrauD: Unsupervised Financial Fraud Detection in Dynamic Graph Streams | ACM TKDD 2024 | Link | Link |
| 2024 | MAD: Multi-Scale Anomaly Detection in Link Streams | WSDM 2024 | Link | Link |
| 2023 | Online Corrupted User Detection and Regret Minimization | NeurIPS 2023 | Link | Link |
| 2023 | CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs | CIKM 2023 | Link | Link |
| 2023 | Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers | KDD 2023 | Link | Link |
| 2023 | Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics | KDD 2023 | Link | Link |
| 2023 | Sketch-Based Anomaly Detection in Streaming Graphs | KDD 2023 | Link | Link |
| 2023 | Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement | ECML-PKDD 2023 | Link | Link |
| 2022 | Spade: A Real-Time Fraud Detection Framework on Evolving Graphs | VLDB 2023 | Link | Link |
| 2022 | Temporal burstiness and collaborative camouflage aware fraud detection | IPM 2023 | Link | Link |
| 2022 | Detecting Cash-out Users via Dense Subgraphs | KDD 2022 | Link | Link |
| 2022 | AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks | KDD 2022 | Link | Link |
| 2022 | Subset Node Anomaly Tracking over Large Dynamic Graphs | KDD 2022 | Link | Link |
| 2022 | Internet Financial Fraud Detection Based on Graph Learning | IEEE TCSS 2022 | Link | Link |
| 2022 | Exploiting Anomalous Structural Nodes in Dynamic Social Networks | WWW 2022 Workshop | Link | Link |
| 2022 | Adaptive Label Propagation for Group Anomaly Detection in Large-scale Networks | IEEE TKDE 2022 | Link | Link |
| 2022 | eRiskCom: an e-commerce risky community detection platform | VLDB Journal 2022 | Link | Link |
| 2022 | MonLAD: Money Laundering Agents Detection in Transaction Streams | WSDM 2022 | Link | Link |
| 2022 | Knowledge Sharing via Domain Adaptation in Customs Fraud Detection | AAAI 2022 | Link | Link |
| 2022 | Active Learning for Human-in-the-Loop Customs Inspection | IEEE TKDE 2022 | Link | Link |
| 2021 | Analytical Models for Motifs in Temporal Networks: Discovering Trends and Anomalies | arXiv 2021 | Link | Link |
| 2021 | Customs Fraud Detection in the Presence of Concept Drift | ICDMW 2021 | Link | Link |
| 2021 | GraphScope: A Unified Engine For Big Graph Processing | VLDB 2021 | Link | Link |
| 2021 | Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection | CIKM 2021 | Link | Link |
| 2021 | Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach | KDD 2021 | Link | Link |
| 2021 | GuiltyWalker: Distance to illicit nodes in the Bitcoin network | KDD 2021 Workshop | Link | Link |
| 2021 | Deep Entity Classification: Abusive Account Detection for Online Social Networks | USENIX Security 2021 | Link | Link |
| 2021 | EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph | ICDE 2021 | Link | Link |
| 2021 | Network Inference from a Mixture of Diffusion Models for Fake News Mitigation | ICWSM 2021 | Link | Link |
| 2021 | Uncovering Coordinated Networks on Social Media | ICWSM 2021 | Link | Link |
| 2021 | F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams | WSDM 2021 | Link | Link |
| 2020 | Subgraph Anomaly Detection in Financial Transaction Networks | ICAIF 2020 | Link | Link |
| 2020 | AUTOAUDIT: Mining Accounting and Time-Evolving Graphs | IEEE BigData 2020 | Link | Link |
| 2020 | SpecGreedy: Unified Dense Subgraph Detection | ECML-PKDD 2020 | Link | Link |
| 2020 | Real-Time Streaming Anomaly Detection in Dynamic Graphs | arXiv 2020 | Link | Link |
| 2020 | Robust Spammer Detection by Nash Reinforcement Learning | KDD 2020 | Link | Link |
| 2020 | DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection | KDD 2020 | Link | Link |
| 2020 | KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection | KDD 2020 Workshop | Link | Link |
| 2020 | Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services | IEEE TDSC 2020 | Link | Link |
| 2020 | Collaboration Based Multi-Label Propagation for Fraud Detection | IJCAI 2020 | Link | Link |
| 2020 | Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation | ICWSM 2020 | Link | Link |
| 2020 | Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks | WWW 2020 | Link | Link |
| 2020 | Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network | WWW 2020 | Link | Link |
| 2020 | MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams | AAAI 2020 | Link | Link |
| 2020 | FlowScope: Spotting Money Laundering Based on Graphs | AAAI 2020 | Link | Link |
| 2019 | A Dynamic Default Prediction Framework for Networked-guarantee Loans | CIKM 2019 | Link | Link |
| 2019 | Understanding Default Behavior in Online Lending | CIKM 2019 | Link | Link |
| 2019 | SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs | DSAA 2019 | Link | Link |
| 2019 | From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms | VLDB 2019 | Link | Link |
| 2019 | TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial | VLDB 2019 | Link | Link |
| 2019 | Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks | IEEE TKDE | Link | Link |
| 2019 | Fraud Detection in Dynamic Interaction Network | IEEE TKDE | Link | Link |
| 2019 | Spotting Collective Behaviour of Online Frauds in Customer Reviews | IJCAI 2019 | Link | Link |
| 2019 | Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism | AAAI 2019 | Link | Link |
| 2018 | Deep Structure Learning for Fraud Detection | ICDM 2018 | Link | Link |
| 2018 | FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features | AiSec 2018 | Link | Link |
| 2018 | HGsuspector: Scalable Collective Fraud Detection in Heterogeneous Graphs | KDD 2018 Workshop | Link | Link |
| 2018 | Online E-Commerce Fraud: A Large-scale Detection and Analysis | ICDE 2018 | Link | Link |
| 2018 | FraudNE: a Joint Embedding Approach for Fraud Detection | IJCNN 2018 | Link | Link |
| 2018 | Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach | WSDM 2018 | Link | Link |
| 2018 | REV2: Fraudulent User Prediction in Rating Platforms | WSDM 2018 | Link | Link |
| 2017 | ZooBP: Belief Propagation for Heterogeneous Networks | VLDB 2017 | Link | Link |
| 2017 | HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks | ICDM 2017 | Link | Link |
| 2017 | GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graph | ICDM 2017 | Link | Link |
| 2017 | The Many Faces of Link Fraud | ICDM 2017 | Link | Link |
| 2017 | HoloScope: Topology-and-Spike Aware Fraud Detection | CIKM 2017 | Link | Link |
| 2017 | iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection | Mobile Information Systems 2017 | Link | Link |
| 2017 | Adaptive Spammer Detection with Sparse Group Modeling | ICWSM 2017 | Link | Link |
| 2017 | NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media | IEEE TIFS 2017 | Link | Link |
| 2016 | FRAUDAR: Bounding Graph Fraud in the Face of Camouflage | KDD 2016 | Link | Link |
| 2015 | AFRAID: Fraud detection via active inference in time-evolving social networks | ASONAM 2015 | Link | Link |
| 2015 | Collective Opinion Spam Detection: Bridging Review Networks and Metadata | KDD 2015 | Link | Link |
| 2014 | Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective | ICDM 2014 | Link | Link |
PyGOD: A Python Library for Graph Outlier Detection (Anomaly Detection)
DGFraud-TF2: A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.0
DGFraud: A Deep Graph-based Toolbox for Fraud Detection
UGFraud: An Unsupervised Graph-based Toolbox for Fraud Detection
Realtime Fraud Detection with GNN on DGL
GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba
Node Outlier Detection Benchmark
Twitter Fake News Propagation Graph Dataset
Yelp & Amazon Fraud Graph Dataset
TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs
FiGraph: A Dynamic Heterogeneous Graph Dataset for Financial Anomaly Detection
Fair Graph Anomaly Detection Benchmark
IBM Transactions for Anti Money Laundering (AML)
Financial Statement Fraud Dataset
Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
UTwitter: Unlabeled Twitter dataset for rumor detection
Risk Commodities Detection on Large-Scale E-commerce Graphs
Fraudster Nodes in Dynamic Financial Social Network
Anomalous Accounts in Transaction and Social Networks
Ethereum Fraud Detection Dataset
Ethereum Phishing Transaction Network
IEEE-CIS Fraud Detection Dataset
Outlier Detection DataSets (ODDS)
Graph Fraud Datasets from Prof. Srijan Kumar
Bitcoin Fraudulent Transaction Dataset
Mobile App Install Fraud Dataset
Large Language Models in the Abuse Detection Pipeline
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Graph-based Fake Account Detection: A Survey
Graph Neural Networks for Financial Fraud Detection: A Review
Deep Graph Anomaly Detection: A Survey and New Perspectives
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Fake News Detection Through Graph-based Neural Networks: A Survey
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Intelligent financial fraud detection practices in post-pandemic era
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Anomaly Mining - Past, Present and Future
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
Graph-based anomaly detection and description: a survey
Adversarial Attack and Defense on Graph Data: A Survey
Suspicious behavior detection: Current trends and future directions
False information on web and social media: A survey
Misinformation in Social Media: Definition, Manipulation, and Detection
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
[Thesis] Robust Graph Learning for Misbehavior Detection
[Blog] Graph Neural Network-based Graph Outlier Detection: A Brief Introduction
[Slides] Leveraging GNNs for Financial Fraud Detection: Practices and Challenges
[Slides] Graph Learning in Financial Networks by Jiaxuan You
[Blog] A Foundation Model for Consumption, Transactions, and Actions The Inception of BehaviorGPT
[Slides] Graph Neural Network-based Fraud Detection -- from Research to Application
[Video] Fraud Detection with Graph Neural Networks
[Video] Fake News Detection using Graphs with Pytorch Geometric
[Paper List] Graph Adversarial Learning Literature
[Paper List] Awesome Graph Anomaly Detection
[Paper List] Awesome Fraud Detection Research Papers
[Paper List] Awesome Anomaly Detection Foundation Models
[Tutorial] Graph-Based User Behavior Modeling: From Prediction to Fraud Detection
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65 followers · starred Sep 2024
119 followers · starred May 2020
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A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
See the codeA curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
We have an interactive dashboard to view/filter/search the papers listed in this repo.
To facilitate deep research, we developed a local RAG-based LLM chatbot with 250 publicly accessible papers. Please refer to the project README on how to deploy this chatbot for personal use.
Table of Contents
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2026 | TransactionGPT | KDD 2026 | Link | Link |
| 2026 | SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection | arXiv 2026 | Link | Link |
| 2026 | Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection | arXiv 2026 | Link | Link |
| 2026 | Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection | arXiv 2026 | Link | Link |
| 2026 | UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains | arXiv 2026 | Link | Link |
| 2026 | PRAGMA: Revolut Foundation Model | arXiv 2026 | Link | Link |
| 2026 | Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning | AAAI 2026 | Link | Link |
| 2026 | DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs | AAAI 2026 | Link | Link |
| 2026 | Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection | arXiv 2026 | Link | Link |
| 2026 | LLM-Assisted Logic Rule Learning: Scaling Human Expertise for Time Series Anomaly Detection | arXiv 2026 | Link | Link |
| 2026 | Reinforcement Learning of Large Language Models for Interpretable Credit Card Fraud Detection | arXiv 2026 | Link | Link |
| 2026 | Ahead of the Spread: Agent-Driven Virtual Propagation for Early Fake News Detection | arXiv 2026 | Link | Link |
| 2026 | Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection | ACL 2026 | Link | Link |
| 2026 | TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding | KDD 2026 | Link | Link |
| 2026 | When graph anomaly breaks the coherence: A multi-evidence approach with language models | Expert Systems with Applications | Link | Link |
| 2026 | DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs | AAAI 2026 | Link | Link |
| 2025 | Open Banking Foundational Model: Learning Language Representations from Few Financial Transactions | arXiv 2025 | Link | Link |
| 2025 | SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management | arXiv 2025 | Link | Link |
| 2025 | PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling | NeurIPS 2025 | Link | Link |
| 2025 | AuditCopilot: Leveraging LLMs for Fraud Detection in Double-Entry Bookkeeping | NeurIPS 2025 Workshop | Link | Link |
| 2025 | OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs | ACM CCS 2025 | Link | Link |
| 2025 | LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning | arXiv 2025 | Link | Link |
| 2025 | Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings | EMNLP 2025 | Link | Link |
| 2025 | LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis | arXiv 2025 | Link | Link |
| 2025 | Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network | arXiv 2025 | Link | Link |
| 2025 | Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection | ACM MM 2025 | Link | Link |
| 2025 | GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model | KDD 2025 | Link | Link |
| 2025 | FLAG: Fraud Detection with LLM-enhanced Graph Neural Network | KDD 2025 | Link | Link |
| 2025 | Automated graph anomaly detection with large language models | Knowledge-Based Systems | Link | Link |
| 2025 | Fraud-R1: A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements | ACL 2025 | Link | Link |
| 2025 | Large Language Models for Tabular Anomaly Detection | ICLR 2025 | Link | Link |
| 2024 | Anomaly Detection of Tabular Data Using LLMs | IJCAI 2024 Workshop | Link | Link |
| 2023 | Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences | ICAIF 2023 | Link | Link |
| 2023 | FinGPT: Open-Source Financial Large Language Models | IJCAI 2023 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2026 | Population-Calibrated Graph Screening at 835-Million-Address Scale, with Label-Free Transfer to New Chains | SSRN 2026 | Link | Link |
| 2026 | Efficient Densest Flow Queries in Transaction Flow Networks | IEEE TKDE 2026 | Link | Link |
| 2026 | Noise-Filtering Enhanced Graph Transformer for Robust Fake News Detection | IEEE TKDE 2026 | Link | Link |
| 2026 | Learning Feature Encoder With Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection | IEEE TKDE 2026 | Link | Link |
| 2026 | Evolutionary-Optimized Graph Neural Network for Fraud Detection With Topological Obfuscation | IEEE TEVC 2026 | Link | Link |
| 2026 | Exposing Disguises and Tracing Illicit Flows: Dual-View Graph Representation Learning for Money Laundering Detection | IEEE TCSS 2026 | Link | Link |
| 2026 | CamFD: Semi-Supervised Camouflage-Aware Fraud Detection Based on Dynamic Graphs | IEEE TSMC 2026 | Link | Link |
| 2026 | Defending Attacks on Anti-Fraud Model With Generative Graph Representations | IEEE TKDE 2026 | Link | Link |
| 2026 | SURE-GNN: Subgraph-Level Graph Neural Network Against Heterophily for Fraud Detection | IEEE TCSS | Link | Link |
| 2026 | Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection | arXiv 2026 | Link | Link |
| 2026 | L2IR: Revealing Latent Intent in Graph Fraud Detection | arXiv 2026 | Link | Link |
| 2026 | NeighborDiv: Training-free Zero-shot Generalist Graph Anomaly Detection via Neighbor Diversity | arXiv 2026 | Link | Link |
| 2026 | CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection | IJCAI 2026 | Link | Link |
| 2026 | Graph-Based Fraud Detection with Dual-Path Graph Filtering | arXiv 2026 | Link | Link |
| 2026 | Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection | TheWebConf 2026 | Link | Link |
| 2026 | STG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay | TheWebConf 2026 | Link | Link |
| 2026 | Dual-level Reweighting for Positive-Unlabeled Graph Classification | TheWebConf 2026 | Link | Link |
| 2026 | HCSL: Rumor Detection by Integrating Intra-Sample Curriculum Learning and Hierarchical Semantic Learning | TheWebConf 2026 | Link | Link |
| 2026 | Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning | TheWebConf 2026 | Link | Link |
| 2026 | PAGE: Progressive Anomaly Generation Network for Semi-supervised Graph Anomaly Detection | TheWebConf 2026 | Link | Link |
| 2026 | Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach | TheWebConf 2026 | Link | Link |
| 2026 | GRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms | TheWebConf 2026 | Link | Link |
| 2026 | TAS-GNN: A Status-Aware Signed Graph Neural Network for Anomaly Detection in Bitcoin Trust Systems | arXiv 2026 | Link | Link |
| 2026 | Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection | AAAI 2026 | Link | Link |
| 2026 | SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs | AAAI 2026 | Link | Link |
| 2026 | BAG: Benchmarking Anomaly Detection on Dynamic Graphs | AAAI 2026 | Link | Link |
| 2026 | Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision | arXiv 2026 | Link | Link |
| 2026 | Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts | arXiv 2026 | Link | Link |
| 2026 | Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection | KDD 2026 | Link | Link |
| 2026 | Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms | KDD 2026 | Link | Link |
| 2026 | CamFD: Semi-Supervised Camouflage-Aware Fraud Detection Based on Dynamic Graphs | IEEE TSMC | Link | Link |
| 2026 | PromoGuardian: Detecting Promotion Abuse Fraud with Multi-Relation Fused Graph Neural Networks | IEEE S&P 2026 | Link | Link |
| 2026 | Multi-faceted consistency data augmentation for graph anomaly detection | Information Processing & Management | Link | Link |
| 2026 | Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time | AAAI 2026 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2025 | Semi-supervised Graph Anomaly Detection via Robust Homophily Learning | NeurIPS 2025 | Link | Link |
| 2025 | IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning | NeurIPS 2025 | Link | Link |
| 2025 | Conditional Diffusion Anomaly Modeling on Graphs | NeurIPS 2025 | Link | Link |
| 2025 | Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup | NeurIPS 2025 | Link | Link |
| 2025 | Neighbor-enhanced Graph Pre-training and Prompt Learning Framework for Fraud Detection | ACM CIKM 2025 | Link | Link |
| 2025 | FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection | ACM CIKM 2025 | Link | Link |
| 2025 | Breaking Semantic Barriers: A Zero-Shot Generalized Framework for Graph Anomaly Detection | ACM MM 2025 | Link | Link |
| 2025 | Combining Euclidean and Hyperbolic Representations for Node-level Anomaly Detection | arXiv 2025 | Link | Link |
| 2025 | RoBCtrl: Attacking GNN-Based Social Bot Detectors via Reinforced Manipulation of Bots Control Interaction | arXiv 2025 | Link | Link |
| 2025 | SparseFraudNet: A Graph-based Approach for Cold-start Fraud Detection with Information Aggregation | ACM TOIS | Link | Link |
| 2025 | Address Anomalies at Critical Crossroads for Graph Anomaly Detection | IEEE TKDE | Link | Link |
| 2025 | Multi-Temporal Partitioned Graph Attention Networks for Financial Fraud Detection | IEEE TIFS | Link | Link |
| 2025 | GRASPED: Graph Anomaly Detection using Autoencoder with Spectral Encoder and Decoder | ECAI 2025 | Link | Link |
| 2025 | Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection | ECAI 2025 | Link | Link |
| 2025 | Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning | ECAI 2025 | Link | Link |
| 2025 | CRoC: Context Refactoring Contrast for Graph Anomaly Detection with Limited Supervision | ECAI 2025 | Link | Link |
| 2025 | Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection | KDD 2025 | Link | Link |
| 2025 | AffinityTune: A Prompt-Tuning Framework for Few-Shot Anomaly Detection on Graphs | KDD 2025 | Link | Link |
| 2025 | AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection | KDD 2025 | Link | Link |
| 2025 | Graph Evidential Learning for Anomaly Detection | KDD 2025 | Link | Link |
| 2025 | Robustness Evaluation of Graph-based News Detection Using Network Structural Information | KDD 2025 | Link | Link |
| 2025 | TFGIN: Tight-Fitting Graph Inference Network for Table-based Fact Verification | ACM TOIS | Link | Link |
| 2025 | NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection | IJCAI 2025 | Link | Link |
| 2025 | GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection | IJCAI 2025 | Link | Link |
| 2025 | MEGAD: a memory-efficient framework for large-scale attributed graph anomaly detection | IJCAI 2025 | Link | Link |
| 2025 | Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning | IJCAI 2025 | Link | Link |
| 2025 | Topology Augmented Multi-Band and Multi-Scale Filtering for Graph Anomaly Detection | ACM TKDD | Link | Link |
| 2025 | A Robust Graph Fraud Detection Model Based on Adversarial Reweighting | IEEE TCSS | Link | Link |
| 2025 | BotTrans: A Multi-source Graph Domain Adaptation Approach for Social Bot Detection | ECML PKDD 2025 | Link | Link |
| 2025 | Latent Representation Learning for Attributed Graph Anomaly Detection | ACM TKDD | Link | Link |
| 2025 | Tailored Bipartite Graph Anomaly Detection via Fixed-Attention Network | PAKDD | Link | Link |
| 2025 | OR-Gate Mixup Multiscale Spectral Graph Neural Network for Node Anomaly Detection | IEEE TNNLS | Link | Link |
| 2025 | Heterophily learning and global–local dependencies enhanced multi-view representation learning for graph anomaly detection | Knowledge-Based Systems | Link | Link |
| 2025 | Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection | arXiv 2025 | Link | Link |
| 2025 | Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection | IEEE TNNLS | Link | Link |
| 2025 | GE-GNN: Gated Edge-Augmented Graph Neural Network for Fraud Detection | IEEE TBD | Link | Link |
| 2025 | Anomaly Detection via Graph Contrastive Learning | TheWebConf 2025 | Link | Link |
| 2025 | Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection | TheWebConf 2025 | Link | Link |
| 2025 | Multi-Granularity Augmented Graph Learning for Spoofing Transaction Detection | TheWebConf 2025 | Link | Link |
| 2025 | Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection | TheWebConf 2025 | Link | Link |
| 2025 | Correlation Information Enhanced Graph Anomaly Detection via Hypergraph Transformation | TheWebConf 2025 | Link | Link |
| 2025 | Federated Graph Anomaly Detection via Disentangled Representation Learning | TheWebConf 2025 | Link | Link |
| 2025 | Cluster Aware Graph Anomaly Detection | TheWebConf 2025 | Link | Link |
| 2025 | SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection | TheWebConf 2025 | Link | Link |
| 2025 | Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark | ICLR 2025 | Link | Link |
| 2025 | SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels | ICLR 2025 | Link | Link |
| 2025 | Open-Set Graph Anomaly Detection via Normal Structure Regularisation | ICLR 2025 | Link | Link |
| 2025 | DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector | ICLR 2025 | Link | Link |
| 2025 | Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation | TKDE 2025 | Link | Link |
| 2025 | CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection | arXiv 2025 | Link | Link |
| 2025 | Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks | TKDE 2025 | Link | Link |
| 2025 | Nowhere to H2IDE: Fraud Detection From Multi-Relation Graphs via Disentangled Homophily and Heterophily Identification | TKDE 2025 | Link | Link |
| 2025 | Towards Fraud Detection Via Fine-Grained Classification of User Behavior | TBD 2025 | Link | Link |
| 2025 | Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives | TKDE 2025 | Link | Link |
| 2025 | Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection | AAAI 2025 | Link | Link |
| 2025 | Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective | AAAI 2025 | Link | Link |
| 2025 | Dynamic Spectral Graph Anomaly Detection | AAAI 2025 | Link | Link |
| 2025 | A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection | AAAI 2025 | Link | Link |
| 2025 | Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors | AAAI 2025 | Link | Link |
| 2025 | A Generalizable Anomaly Detection Method in Dynamic Graphs | AAAI 2025 | Link | Link |
| 2025 | Global Attribute-Association Pattern Aggregation for Graph Fraud Detection | AAAI 2025 | Link | Link |
| 2025 | UMGAD: Unsupervised Multiplex Graph Anomaly Detection | ICDE 2025 | Link | Link |
| 2025 | BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs | ICDE 2025 | Link | Link |
| 2025 | Catch Me If You Can: A Multi-Agent Synthetic Fraud Detection Framework for Complex Networks | ICDE 2025 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2024 | Fund transfer fraud detection: Analyzing irregular transactions and customer relationships with self-attention and graph neural networks | Expert Systems with Applications 2024 | Link | Link |
| 2024 | UniGAD: Unifying Multi-level Graph Anomaly Detection | NeurIPS 2024 | Link | Link |
| 2024 | Context Correlation Discrepancy Analysis for Graph Anomaly Detection | IEEE TKDE 2024 | Link | Link |
| 2024 | ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection | ICAIF 2024 | Link | Link |
| 2024 | Bots Shield Fake News: Adversarial Attack on User Engagement based Fake News Detection | CIKM 2024 | Link | Link |
| 2024 | Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation | CIKM 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Adaptive Node Mixup | CIKM 2024 | Link | Link |
| 2024 | A Structural Information Guided Hierarchical Reconstruction for Graph Anomaly Detection | CIKM 2024 | Link | Link |
| 2024 | Graph Local Homophily Network for Anomaly Detection | CIKM 2024 | Link | Link |
| 2024 | Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs | CIKM 2024 | Link | Link |
| 2024 | LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection | CIKM 2024 | Link | Link |
| 2024 | Collaborative Fraud Detection on Large Scale Graph Using Secure Multi-Party Computation | CIKM 2024 | Link | Link |
| 2024 | Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts | arXiv 2024 | Link | Link |
| 2024 | A Universal Adaptive Algorithm for Graph Anomaly Detection | Elsevier IPM 2024 | Link | Link |
| 2024 | Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer | TKDE 2024 | Link | Link |
| 2024 | Do not ignore heterogeneity and heterophily: Multi-network collaborative telecom fraud detection | Expert Systems with Applications 2024 | Link | Link |
| 2024 | Connecting the Dots: Graph Neural Networks for Auditing Accounting Journal Entries | SSRN 2024 | Link | |
| 2024 | Spatial-Temporal-Aware Graph Transformer for Transaction Fraud Detection | IEEE TII 2024 | Link | Link |
| 2024 | Heterophilic Graph Invariant Learning for Out-of-Distribution of Fraud Detection | ACM MM 2024 | Link | Link |
| 2024 | IN-GFD: An Interpretable Graph Fraud Detection Model for Spam Reviews | IEEE TAI 2024 | Link | Link |
| 2024 | EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs | DASFAA 2024 | Link | Link |
| 2024 | Spoofing Transaction Detection with Group Perceptual Enhanced Graph Neural Network | ECML PKDD 2024 | Link | Link |
| 2024 | MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection | DSAA 2024 | Link | Link |
| 2024 | Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection | KDD 2024 | Link | Link |
| 2024 | SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning | KDD 2024 | Link | Link |
| 2024 | VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection | KDD 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Few Labels: A Data-Centric Approach | KDD 2024 | Link | Link |
| 2024 | Effective High-order Graph Representation Learning for Credit Card Fraud Detection | IJCAI 2024 | Link | Link |
| 2024 | Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach | IJCAI 2024 | Link | Link |
| 2024 | Global Confidence Degree Based Graph Neural Network for Financial Fraud Detection | arXiv 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Noisy Labels by Reinforcement Learning | arXiv 2024 | Link | Link |
| 2024 | DOS-GNN: Dual-Feature Aggregations with Over-Sampling for Class-Imbalanced Fraud Detection On Graphs | IJCNN 2024 | Link | Link |
| 2024 | TFD-GCL: Telecommunications Fraud Detection Based on Graph Contrastive Learning with Adaptive Augmentation | IJCNN 2024 | Link | Link |
| 2024 | Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection | IJCNN 2024 | Link | Link |
| 2024 | TA-Detector: A GNN-based Anomaly Detector via Trust Relationship | ACM TMCCA 2024 | Link | Link |
| 2024 | TFD:Trust-Based Fraud Detection in SIoT With Graph Convolutional Networks | IEEE TCE 2024 | Link | Link |
| 2024 | Counterfactual Data Augmentation With Denoising Diffusion for Graph Anomaly Detection | IEEE TCSS 2024 | Link | Link |
| 2024 | HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | GLADformer: A Mixed Perspective for Graph-level Anomaly Detection | ECML PKDD 2024 | Link | Link |
| 2024 | Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement | arXiv 2024 | Link | Link |
| 2024 | Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs | TMLR 2024 | Link | Link |
| 2024 | ARC: A Generalist Graph Anomaly Detector with In-Context Learning | NeurIPS 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Domain-Agnostic Pre-Training and Few-Shot Adaptation | IEEE ICDE 2024 | Link | Link |
| 2024 | Parallel Graph Learning with Temporal Stamp Encoding for Fraudulent Transactions Detections | IEEE TBD 2024 | Link | Link |
| 2024 | Dispelling the Fake: Social Bot Detection Based on Edge Confidence Evaluation | IEEE TNNLS 2024 | Link | Link |
| 2024 | Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters | TheWebConf 2024 | Link | Link |
| 2024 | Graph Anomaly Detection with Bi-level Optimization | TheWebConf 2024 | Link | Link |
| 2024 | Heterogeneous Subgraph Transformer for Fake News Detection | TheWebConf 2024 | Link | Link |
| 2024 | Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training | LREC-COLING 2024 | Link | Link |
| 2024 | Multi-task Contrastive Learning for Anomaly Detection on Attributed Networks | PAKDD 2024 | Link | Link |
| 2024 | TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media | PAKDD 2024 | Link | Link |
| 2024 | Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | Revisiting Attack-caused Structural Distribution Shift in Graph Anomaly Detection | IEEE TKDE 2024 | Link | Link |
| 2024 | F2GNN: An Adaptive Filter with Feature Segmentation for Graph-Based Fraud Detection | ICASSP 2024 | Link | Link |
| 2024 | RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection | arXiv 2024 | Link | Link |
| 2024 | CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks | arXiv 2024 | Link | Link |
| 2024 | Generative Semi-supervised Graph Anomaly Detection | NeurIPS 2024 | Link | Link |
| 2024 | Multitask Active Learning for Graph Anomaly Detection | arXiv 2024 | Link | Link |
| 2024 | Provably Powerful Graph Neural Networks for Directed Multigraphs | AAAI 2024 | Link | Link |
| 2024 | Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection | AAAI 2024 | Link | Link |
| 2024 | Barely Supervised Learning for Graph-Based Fraud Detection | AAAI 2024 | Link | Link |
| 2024 | ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection | AAAI 2024 | Link | Link |
| 2024 | Pre-trained Online Contrastive Learning for Insurance Fraud Detection | AAAI 2024 | Link | Link |
| 2024 | Towards Robust Rumor Detection with Graph Contrastive and Curriculum Learning | ACM TKDD 2024 | Link | Link |
| 2024 | Partitioning Message Passing for Graph Fraud Detection | ICLR 2024 | Link | Link |
| 2024 | Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision | ICLR 2024 | Link | Link |
| 2024 | Boosting Graph Anomaly Detection with Adaptive Message Passing | ICLR 2024 | Link | Link |
| 2024 | Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection | ICLR 2024 | Link | Link |
| 2024 | PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization | WSDM 2024 | Link | Link |
| 2024 | SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks | arXiv 2024 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2023 | Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks | LoG 2023 | Link | Link |
| 2023 | Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models | arXiv 2023 | Link | Link |
| 2023 | GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction | WSDM 2024 | Link | Link |
| 2023 | DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection | AAAI 2024 | Link | Link |
| 2023 | DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph | AAAI 2024 | Link | Link |
| 2023 | GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking | AAAI 2024 | Link | Link |
| 2023 | Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum | AAAI 2024 | Link | Link |
| 2023 | GADY: Unsupervised Anomaly Detection on Dynamic Graphs | AAAI 2024 | Link | Link |
| 2023 | Realistic Synthetic Financial Transactions for Anti-Money Laundering Models | NeurIPS 2023 | Link | Link |
| 2023 | GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection | NeurIPS 2023 | Link | Link |
| 2023 | GAD-EBM: Graph Anomaly Detection using Energy-Based Models | NeurIPS 2023 (GLFrontiers Workshop) | Link | Link |
| 2023 | Towards Self-Interpretable Graph-Level Anomaly Detection | NeurIPS 2023 | Link | Link |
| 2023 | Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection | NeurIPS 2023 | Link | Link |
| 2023 | Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection | ICDM 2023 Workshops | Link | Link |
| 2023 | Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection | ICDM 2023 | Link | Link |
| 2023 | RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks | Knowledge-Based Systems 2023 | Link | Link |
| 2023 | GoSage: Heterogeneous Graph Neural Network Using Hierarchical Attention for Collusion Fraud Detection | ACM ICAIF 2023 | Link | Link |
| 2023 | ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach | IEEE Bigdata 2023 | Link | Link |
| 2023 | SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily | CIKM 2023 | Link | Link |
| 2023 | THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks | CIKM 2023 | Link | Link |
| 2023 | Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks | CIKM 2023 | Link | Link |
| 2023 | Class Label-aware Graph Anomaly Detection | CIKM 2023 | Link | Link |
| 2023 | Generative Graph Augmentation for Minority Class in Fraud Detection | CIKM 2023 | Link | Link |
| 2023 | GraphFC: Customs Fraud Detection with Label Scarcity | CIKM 2023 | Link | Link |
| 2023 | Learning Node Abnormality with Weak Supervision | CIKM 2023 | Link | Link |
| 2023 | Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection | ACM MM 2023 | Link | Link |
| 2023 | Multi-modal Social Bot Detection: Learning Homophilic and Heterophilic Connections Adaptively | ACM MM 2023 | Link | Link |
| 2023 | Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection | arXiv 2023 | Link | Link |
| 2023 | ASA-GNN: Adaptive Sampling and Aggregation-Based Graph Neural Network for Transaction Fraud Detection | IEEE TCSS 2023 | Link | Link |
| 2023 | Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks | ACM TWEB 2023 | Link | Link |
| 2023 | GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection | IEEE ICKG 2023 | Link | Link |
| 2023 | FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection | IEEE DSAA 2023 | Link | Link |
| 2023 | Enabling Graph Neural Networks for Semi-Supervised Risk Prediction in Online Credit Loan Services | ACM TIST 2023 | Link | Link |
| 2023 | Effective Multi-Graph Neural Networks for Illicit Account Detection on Cryptocurrency Transaction Networks | arXiv 2023 | Link | Link |
| 2023 | HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks | IEEE DSAA 2023 | Link | Link |
| 2023 | SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs | IJCAI 2023 | Link | Link |
| 2023 | Robust Graph Anomaly Detection via Neural Sparsification | IJCAI 2023 | Link | Link |
| 2023 | Don’t Ignore Alienation and Marginalization: Correlating Fraud Detection | IJCAI 2023 | Link | Link |
| 2023 | Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network | IJCAI 2023 | Link | Link |
| 2023 | Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network | IJCAI 2023 | Link | Link |
| 2023 | Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering | KDD 2023 | Link | Link |
| 2023 | DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection | KDD 2023 | Link | Link |
| 2023 | Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping | KDD 2023 | Link | Link |
| 2023 | Towards Reliable Rare Category Analysis on Graphs via Individual Calibration | KDD 2023 | Link | Link |
| 2023 | Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency | KDD 2023 | Link | Link |
| 2023 | Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster Detection | KDD 2023 | Link | Link |
| 2023 | Group-based Fraud Detection Network on e-Commerce Platforms | KDD 2023 | Link | Link |
| 2023 | MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification | KDD 2023 | Link | Link |
| 2023 | Dynamic graph neural network-based fraud detectors against collaborative fraudsters | Knowledge-Based Systems 2023 | Link | Link |
| 2023 | Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph | arXiv 2023 | Link | Link |
| 2023 | Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach | arXiv 2023 | Link | Link |
| 2023 | Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer | arXiv 2023 | Link | Link |
| 2023 | Transaction Fraud Detection via an Adaptive Graph Neural Network | arXiv 2023 | Link | Link |
| 2023 | Heuristic Heterogeneous Graph Reasoning Networks for Fact Verification | IEEE TNNLS 2023 | Link | Link |
| 2023 | Anomaly Detection in Networks via Score-Based Generative Models | ICML 2023 Workshops | Link | Link |
| 2023 | Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs | IJCNN 2023 | Link | Link |
| 2023 | ConsE: Consistency Exploitation for Semi-Supervised Anomaly Detection in Graphs | IJCNN 2023 | Link | Link |
| 2023 | Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network | PAKDD 2023 | Link | Link |
| 2023 | Graph Contrastive Learning With Feature Augmentation for Rumor Detection | IEEE TCSS 2023 | Link | Link |
| 2023 | Fraud detection on multi-relation graphs via imbalanced and interactive learning | Information Sciences | Link | Link |
| 2023 | Anti-Money Laundering by Group-Aware Deep Graph Learning | IEEE TKDE | Link | Link |
| 2023 | Subgraph Centralization: A Necessary Step for Graph Anomaly Detection | SDM 2023 | Link | Link |
| 2023 | Abnormal Event Detection via Hypergraph Contrastive Learning | SDM 2023 | Link | Link |
| 2023 | Semi-Supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation | AAAI 2023 | Link | link |
| 2023 | TUAF: Triple-Unit-Based Graph-Level Anomaly Detection with Adaptive Fusion Readout | DASFAA 2023 | Link | Link |
| 2023 | DualFraud: Dual-Target Fraud Detection and Explanation in Supply Chain Finance Across Heterogeneous Graphs | DASFAA 2023 | Link | Link |
| 2023 | GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection | arXiv 2023 | Link | Link |
| 2023 | Cost Sensitive GNN-based Imbalanced Learning for Mobile Social Network Fraud Detection | arXiv 2023 | Link | Link |
| 2023 | DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk | arXiv 2023 | Link | Link |
| 2023 | Towards Improved Illicit Node Detection with Positive-Unlabelled Learning | IEEE ICBC 2023 | Link | Link |
| 2023 | Counterfactual Graph Learning for Anomaly Detection on Attributed Networks | IEEE TKDE | Link | Link |
| 2023 | Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering | arXiv 2023 | Link | Link |
| 2023 | Energy-based Out-of-Distribution Detection for Graph Neural Networks | ICLR 2023 | Link | Link |
| 2023 | A Differential Geometric View and Explainability of GNN on Evolving Graphs | ICLR 2023 | Link | Link |
| 2023 | Attacking Fake News Detectors via Manipulating News Social Engagement | TheWebConf 2023 | Link | Link |
| 2023 | Label Information Enhanced Fraud Detection against Low Homophily in Graphs | TheWebConf 2023 | Link | Link |
| 2023 | Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum | TheWebConf 2023 | Link | Link |
| 2023 | LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection | IEEE TBD | Link | Link |
| 2023 | Multi-view co-attention network for fake news detection by modeling topic-specific user and news source credibility | Information Processing & Management | Link | Link |
| 2023 | Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms | arXiv 2023 | Link | Link |
| 2023 | RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation | arXiv 2023 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2022 | Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks | WSDM 2023 | Link | Link |
| 2022 | Alleviating Structural Distribution Shift in Graph Anomaly Detection | WSDM 2023 | Link | Link |
| 2022 | Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment | AAAI 2023 | Link | Link |
| 2022 | Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network | AAAI 2023 | Link | Link |
| 2022 | Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks | IEEE BigData 2022 | Link | Link |
| 2022 | Demystifying Bitcoin Address Behavior via Graph Neural Networks | ICDE 2023 | Link | Link |
| 2022 | Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction | NeurIPS 2022 Workshops | Link | Link |
| 2022 | EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain | ADMA 2022 | Link | Link |
| 2022 | Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection | NeurIPS 2022 | Link | Link |
| 2022 | Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method | ICDE 2023 | Link | Link |
| 2022 | SybilFlyover: Heterogeneous graph-based fake account detection model on social networks | Knowledge-Based Systems | Link | Link |
| 2022 | Guided Self-Training based Semi-Supervised Learning for Fraud Detection | ACM ICAIF 2022 | Link | Link |
| 2022 | LaundroGraph: Self-Supervised Graph Representation Learning for Anti-Money Laundering | ACM ICAIF 2022 | Link | Link |
| 2022 | The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection | ICDM 2022 | Link | Link |
| 2022 | GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media | ICDM 2022 | Link | Link |
| 2022 | DAGAD: Data Augmentation for Graph Anomaly Detection | ICDM 2022 | Link | Link |
| 2022 | Graph Anomaly Detection with Unsupervised GNNs | ICDM 2022 | Link | Link |
| 2022 | A Unified Propagation Forest-based Framework for Fake News Detection | COLING 2022 | Link | Link |
| 2022 | Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks | arXiv 2022 | Link | Link |
| 2022 | BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs | NeurIPS 2022 | Link | Link |
| 2022 | DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection | NeurIPS 2022 | Link | Link |
| 2022 | Dual-Augment Graph Neural Network for Fraud Detection | CIKM 2022 | Link | Link |
| 2022 | Explainable Graph-based Fraud Detection via Neural Meta-graph Search | CIKM 2022 | Link | Link |
| 2022 | Domain-Aware Federated Social Bot Detection with Multi-Relational Graph Neural Networks | IJCNN 2022 | Link | Link |
| 2022 | GCCAD: Graph Contrastive Coding for Anomaly Detection | IEEE TKDE 2022 | Link | Link |
| 2022 | Graph Neural Network for Fraud Detection via Spatial-Temporal Attention | IEEE TKDE 2022 | Link | Link |
| 2022 | Reinforcement Subgraph Reasoning for Fake News Detection | KDD 2022 | Link | Link |
| 2022 | ROLAND: Graph Learning Framework for Dynamic Graphs | KDD 2022 | Link | Link |
| 2022 | Hierarchical Multi-Modal Fusion on Dynamic Heterogeneous Graph for Health Insurance Fraud Detection | IEEE ICME 2022 | Link | Link |
| 2022 | Graph-Aware Deep Fusion Networks for Online Spam Review Detection | IEEE TCSS 2022 | Link | Link |
| 2022 | Modeling User Behavior With Interaction Networks for Spam Detection | SIGIR 2022 | Link | Link |
| 2022 | Table2Graph: Transforming Tabular Data to Unified Weighted Graph | IJCAI 2022 | Link | Link |
| 2022 | RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search | arXiv 2022 | Link | Link |
| 2022 | Rethinking Graph Neural Networks for Anomaly Detection | ICML 2022 | Link | Link |
| 2022 | Can Abnormality be Detected by Graph Neural Networks? | IJCAI 2022 | Link | Link |
| 2022 | Modelling graph dynamics in fraud detection with "Attention" | Preprint | Link | Link |
| 2022 | ALLIE: Active Learning on Large-scale Imbalanced Graphs | WWW 2022 | Link | Link |
| 2022 | H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections | WWW 2022 | Link | Link |
| 2022 | Prohibited Item Detection via Risk Graph Structure Learning | WWW 2022 | Link | Link |
| 2022 | TTAGN: Temporal Transaction Aggregation Graph Network For Ethereum Phishing Scams Detection | WWW 2022 | Link | Link |
| 2022 | AUC-oriented Graph Neural Network for Fraud Detection | WWW 2022 | Link | Link |
| 2022 | Bi-Level Selection via Meta Gradient for Graph-based Fraud Detection | DASFAA 2022 | Link | Link |
| 2022 | Nowhere to Hide: Online Rumor Detection Based on Retweeting Graph Neural Networks | IEEE TNNLS 2022 | Link | Link |
| 2022 | Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection | arXiv 2022 | Link | Link |
| 2022 | BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising | ACM TOIS 2022 | Link | Link |
| 2022 | Inductive Graph Representation Learning for fraud detection | Expert Systems with Applications 2022 | Link | Link |
| 2022 | Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network | arXiv 2022 | Link | Link |
| 2022 | Markov-Driven Graph Convolutional Networks for Social Spammer Detection | IEEE TKDE 2022 | Link | Link |
| 2022 | Deep Graph Learning for Anomalous Citation Detection | IEEE TNNLS 2022 | Link | Link |
| 2022 | Towards Fine-Grained Reasoning for Fake News Detection | AAAI 2022 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2021 | eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks | ACM TOIS 2021 | Link | Link |
| 2021 | MAFI: GNN-based Multiple Aggregators and Feature Interactions Network for Fraud Detection over Heterogeneous Graph | IEEE TBD 2021 | Link | Link |
| 2021 | FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance | ICDM 2021 | Link | Link |
| 2021 | Fake Reviewer Group Detection in Online Review Systems | ICDM 2021 Workshop | Link | Link |
| 2021 | Temporal Graph Representation Learning for Detecting Anomalies in E-payment Systems | ICDM 2021 Workshop | Link | Link |
| 2021 | Know-GNN: An Explainable Knowledge-Guided Graph Neural Network for Fraud Detection | ICONIP 2021 | Link | Link |
| 2021 | TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors | arXiv 2021 | Link | Link |
| 2021 | Knowledge-Guided Fraud Detection Using Semi-supervised Graph Neural Network | WISE 2021 | Link | Link |
| 2021 | Deep Fraud Detection on Non-attributed Graph | IEEE BigData 2021 | Link | Link |
| 2021 | Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media | NeurIPS 2021 | Link | Link |
| 2021 | ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning | CIKM 2021 | Link | Link |
| 2021 | Prohibited Item Detection on Heterogeneous Risk Graphs | CIKM 2021 | Link | Link |
| 2021 | Modeling Heterogeneous Graph Network on Fraud Detection: A Community-based Framework with Attention Mechanism | CIKM 2021 | Link | Link |
| 2021 | Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs | CIKM 2021 | Link | Link |
| 2021 | Action Sequence Augmentation for Early Graph-based Anomaly Detection | CIKM 2021 | Link | Link |
| 2021 | Towards Anomaly-resistant Graph Neural Networks via Reinforcement Learning | CIKM 2021 | Link | Link |
| 2021 | Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network | arXiv 2021 | Link | Link |
| 2021 | A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning | IEEE TNNLS 2021 | Link | Link |
| 2021 | Cross-domain Graph Anomaly Detection | IEEE TNNLS 2021 | Link | Link |
| 2021 | Recurrent Graph Neural Networks for Rumor Detection in Online Forums | KDD 2021 Workshop | Link | Link |
| 2021 | Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection | KDD 2021 | Link | Link |
| 2021 | Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection | KDD 2021 | Link | Link |
| 2021 | Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach | KDD 2021 | Link | Link |
| 2021 | Bipartite Dynamic Representations for Abuse Detection | KDD 2021 | Link | Link |
| 2021 | Relational Graph Neural Networks for Fraud Detection in a Super-App environment | KDD 2021 Workshop | Link | Link |
| 2021 | Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge | ACL 2021 | Link | Link |
| 2021 | Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection | ACL 2021 | Link | Link |
| 2021 | Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning | Information Processing & Management 2021 | Link | Link |
| 2021 | Decoupling Representation Learning and Classification for GNN-based Anomaly Detection | SIGIR 2021 | Link | Link |
| 2021 | Improving fake news detection with domain-adversarial and graph-attention neural network | Decision Support Systems | Link | Link |
| 2021 | Anomaly Detection in Dynamic Graphs via Transformer | arXiv 2021 | Link | Link |
| 2021 | HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features | arXiv 2021 | Link | Link |
| 2021 | Fraud Detection in Online Product Review Systems via Heterogeneous Graph Transformer | IEEE Access | Link | Link |
| 2021 | User Preference-aware Fake News Detection | SIGIR 2021 | Link | Link |
| 2021 | Temporal-Aware Graph Neural Network for Credit Risk Prediction | SDM 2021 | Link | Link |
| 2021 | IFSpard: An Information Fusion-based Framework for Spam Review Detection | WWW 2021 | Link | Link |
| 2021 | Improving Cyberbullying Detection with User Interaction | WWW 2021 | Link | Link |
| 2021 | Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection | WWW 2021 | Link | Link |
| 2021 | Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets | WSDM 2021 | Link | Link |
| 2021 | DeepIS: Susceptibility Estimation on Social Networks | WSDM 2021 | Link | Link |
| 2021 | Few-shot Network Anomaly Detection via Cross-network Meta-learning | WWW 2021 | Link | Link |
| 2021 | Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field | AAAI 2021 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2020 | Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning | IEEE TNNLS 2020 | link | link |
| 2020 | Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks | AAAI 2021 Workshop | Link | Link |
| 2020 | Phishing Scams Detection in Ethereum Transaction Network | ACM TOIT 2020 | Link | Link |
| 2020 | APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding | SIGMOD 2021 | Link | Link |
| 2020 | Anomaly Detection on Dynamic Bipartite Graph with Burstiness | ICDM 2020 | Link | Link |
| 2020 | Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market | ICDM 2020 | Link | Link |
| 2020 | Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection | ICDM 2020 | Link | Link |
| 2020 | Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection | ICDM 2020 | Link | Link |
| 2020 | xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs | arXiv 2021 | Link | Link |
| 2020 | BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising | CIKM 2020 | Link | Link |
| 2020 | Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment | CIKM 2020 | Link | Link |
| 2020 | Early Anomaly Detection by Learning and Forecasting Behavior | arXiv | Link | Link |
| 2020 | ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks | arXiv 2021 | Link | Link |
| 2020 | Multivariate Time-series Anomaly Detection via Graph Attention Network | ICDM 2020 | Link | Link |
| 2020 | GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising | Security and Communication Networks 2020 | Link | Link |
| 2020 | Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters | CIKM 2020 | Link | Link |
| 2020 | Graph-based Modeling of Online Communities for Fake News Detection | arXiv 2021 | Link | Link |
| 2020 | FANG: Leveraging Social Context for Fake News Detection Using Graph Representation | CIKM 2020 | Link | Link |
| 2020 | Loan Default Analysis with Multiplex Graph Learning | CIKM 2020 | Link | Link |
| 2020 | Error-Bounded Graph Anomaly Loss for GNNs | CIKM 2020 | Link | Link |
| 2020 | GCNEXT: graph convolutional network with expanded balance theory for fraudulent user detection | Social Network Analysis and Mining 2020 | Link | Link |
| 2020 | FauxWard: a graph neural network approach to fauxtography detection using social media comments | Social Network Analysis and Mining 2020 | Link | Link |
| 2020 | A Scalable Framework for Group Fraud Detection in Transaction using Deep Graph Neural Network | KDD 2020 Workshop | Link | Link |
| 2020 | Early Fraud Detection with Augmented Graph Learning | KDD 2020 Workshop | Link | Link |
| 2020 | TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook | KDD 2020 | Link | Link |
| 2020 | DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation | KDD 2020 | Link | Link |
| 2020 | Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection | SIGIR 2020 | Link | Link |
| 2020 | GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media | ACL 2020 | Link | Link |
| 2020 | Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning | ACL 2020 | Link | Link |
| 2020 | DFraud3-Multi-Component Fraud Detection free of Cold-start | arXiv 2021 | Link | Link |
| 2020 | Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining | IJCAI 2020 | Link | Link |
| 2020 | Rumor Detection on Social Media with Graph Structured Adversarial Learning | IJCAI 2020 | Link | Link |
| 2020 | GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection | SIGIR 2020 | Link | Link |
| 2020 | ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks | WWW 2020 Workshop | Link | Link |
| 2020 | Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection | AAAI 2020 | Link | Link |
| 2020 | Interpretable Rumor Detection in Microblogs by Attending to User Interactions | AAAI 2020 | Link | Link |
| 2020 | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks | AAAI 2020 | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2019 | Spam Review Detection with Graph Convolutional Networks | CIKM 2019 | Link | Link |
| 2019 | A Semi-supervised Graph Attentive Network for Fraud Detection | ICDM 2019 | Link | Link |
| 2019 | Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation | EMNLP 2019 | Link | Link |
| 2019 | Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics | KDD 2019 Workshop | Link | Link |
| 2019 | Uncovering Insurance Fraud Conspiracy with Network Learning | SIGIR 2019 | Link | Link |
| 2019 | Detect Me If You Can: Spam Bot Detection Using Inductive Representation Learning | WWW 2019 Workshop | Link | Link |
| 2019 | FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System | WWW 2019 Workshop | Link | Link |
| 2019 | GeniePath: Graph Neural Networks with Adaptive Receptive Paths | AAAI 2019 | Link | Link |
| 2018 | Heterogeneous Graph Neural Networks for Malicious Account Detection | CIKM 2018 | Link | Link |
| 2018 | GraphRAD: A Graph-based Risky Account Detection System | KDD 2018 Workshop | Link | Link |
| 2018 | Selective Graph Attention Networks for Account Takeover Detection | ICDM 2018 Workshop | Link | Link |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2025 | BMI-GP: Unsupervised Breach Merchant Identification via Adaptive Graph Pruning | ICAIF 2025 | Link | Link |
| 2025 | MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection | arXiv 2025 | Link | Link |
| 2025 | Bursting Flow Query on Large Temporal Flow Networks | SIGMOD 2025 | Link | Link |
| 2025 | Dupin: A Parallel Framework for Densest Subgraph Discovery in Fraud Detection on Massive Graphs | SIGMOD 2025 | Link | Link |
| 2025 | Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability | SIGMOD 2025 | Link | Link |
| 2024 | Benchmarking Fraud Detectors on Private Graph Data | KDD 2025 | Link | Link |
| 2024 | RUSH: Real-Time Burst Subgraph Detection in Dynamic Graphs | VLDB 2024 | Link | Link |
| 2024 | Spade+: A Generic Real-Time Fraud Detection Framework on Dynamic Graphs | IEEE TKDE 2024 | Link | Link |
| 2024 | FiFrauD: Unsupervised Financial Fraud Detection in Dynamic Graph Streams | ACM TKDD 2024 | Link | Link |
| 2024 | MAD: Multi-Scale Anomaly Detection in Link Streams | WSDM 2024 | Link | Link |
| 2023 | Online Corrupted User Detection and Regret Minimization | NeurIPS 2023 | Link | Link |
| 2023 | CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs | CIKM 2023 | Link | Link |
| 2023 | Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers | KDD 2023 | Link | Link |
| 2023 | Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics | KDD 2023 | Link | Link |
| 2023 | Sketch-Based Anomaly Detection in Streaming Graphs | KDD 2023 | Link | Link |
| 2023 | Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement | ECML-PKDD 2023 | Link | Link |
| 2022 | Spade: A Real-Time Fraud Detection Framework on Evolving Graphs | VLDB 2023 | Link | Link |
| 2022 | Temporal burstiness and collaborative camouflage aware fraud detection | IPM 2023 | Link | Link |
| 2022 | Detecting Cash-out Users via Dense Subgraphs | KDD 2022 | Link | Link |
| 2022 | AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks | KDD 2022 | Link | Link |
| 2022 | Subset Node Anomaly Tracking over Large Dynamic Graphs | KDD 2022 | Link | Link |
| 2022 | Internet Financial Fraud Detection Based on Graph Learning | IEEE TCSS 2022 | Link | Link |
| 2022 | Exploiting Anomalous Structural Nodes in Dynamic Social Networks | WWW 2022 Workshop | Link | Link |
| 2022 | Adaptive Label Propagation for Group Anomaly Detection in Large-scale Networks | IEEE TKDE 2022 | Link | Link |
| 2022 | eRiskCom: an e-commerce risky community detection platform | VLDB Journal 2022 | Link | Link |
| 2022 | MonLAD: Money Laundering Agents Detection in Transaction Streams | WSDM 2022 | Link | Link |
| 2022 | Knowledge Sharing via Domain Adaptation in Customs Fraud Detection | AAAI 2022 | Link | Link |
| 2022 | Active Learning for Human-in-the-Loop Customs Inspection | IEEE TKDE 2022 | Link | Link |
| 2021 | Analytical Models for Motifs in Temporal Networks: Discovering Trends and Anomalies | arXiv 2021 | Link | Link |
| 2021 | Customs Fraud Detection in the Presence of Concept Drift | ICDMW 2021 | Link | Link |
| 2021 | GraphScope: A Unified Engine For Big Graph Processing | VLDB 2021 | Link | Link |
| 2021 | Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection | CIKM 2021 | Link | Link |
| 2021 | Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach | KDD 2021 | Link | Link |
| 2021 | GuiltyWalker: Distance to illicit nodes in the Bitcoin network | KDD 2021 Workshop | Link | Link |
| 2021 | Deep Entity Classification: Abusive Account Detection for Online Social Networks | USENIX Security 2021 | Link | Link |
| 2021 | EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph | ICDE 2021 | Link | Link |
| 2021 | Network Inference from a Mixture of Diffusion Models for Fake News Mitigation | ICWSM 2021 | Link | Link |
| 2021 | Uncovering Coordinated Networks on Social Media | ICWSM 2021 | Link | Link |
| 2021 | F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams | WSDM 2021 | Link | Link |
| 2020 | Subgraph Anomaly Detection in Financial Transaction Networks | ICAIF 2020 | Link | Link |
| 2020 | AUTOAUDIT: Mining Accounting and Time-Evolving Graphs | IEEE BigData 2020 | Link | Link |
| 2020 | SpecGreedy: Unified Dense Subgraph Detection | ECML-PKDD 2020 | Link | Link |
| 2020 | Real-Time Streaming Anomaly Detection in Dynamic Graphs | arXiv 2020 | Link | Link |
| 2020 | Robust Spammer Detection by Nash Reinforcement Learning | KDD 2020 | Link | Link |
| 2020 | DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection | KDD 2020 | Link | Link |
| 2020 | KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection | KDD 2020 Workshop | Link | Link |
| 2020 | Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services | IEEE TDSC 2020 | Link | Link |
| 2020 | Collaboration Based Multi-Label Propagation for Fraud Detection | IJCAI 2020 | Link | Link |
| 2020 | Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation | ICWSM 2020 | Link | Link |
| 2020 | Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks | WWW 2020 | Link | Link |
| 2020 | Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network | WWW 2020 | Link | Link |
| 2020 | MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams | AAAI 2020 | Link | Link |
| 2020 | FlowScope: Spotting Money Laundering Based on Graphs | AAAI 2020 | Link | Link |
| 2019 | A Dynamic Default Prediction Framework for Networked-guarantee Loans | CIKM 2019 | Link | Link |
| 2019 | Understanding Default Behavior in Online Lending | CIKM 2019 | Link | Link |
| 2019 | SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs | DSAA 2019 | Link | Link |
| 2019 | From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms | VLDB 2019 | Link | Link |
| 2019 | TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial | VLDB 2019 | Link | Link |
| 2019 | Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks | IEEE TKDE | Link | Link |
| 2019 | Fraud Detection in Dynamic Interaction Network | IEEE TKDE | Link | Link |
| 2019 | Spotting Collective Behaviour of Online Frauds in Customer Reviews | IJCAI 2019 | Link | Link |
| 2019 | Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism | AAAI 2019 | Link | Link |
| 2018 | Deep Structure Learning for Fraud Detection | ICDM 2018 | Link | Link |
| 2018 | FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features | AiSec 2018 | Link | Link |
| 2018 | HGsuspector: Scalable Collective Fraud Detection in Heterogeneous Graphs | KDD 2018 Workshop | Link | Link |
| 2018 | Online E-Commerce Fraud: A Large-scale Detection and Analysis | ICDE 2018 | Link | Link |
| 2018 | FraudNE: a Joint Embedding Approach for Fraud Detection | IJCNN 2018 | Link | Link |
| 2018 | Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach | WSDM 2018 | Link | Link |
| 2018 | REV2: Fraudulent User Prediction in Rating Platforms | WSDM 2018 | Link | Link |
| 2017 | ZooBP: Belief Propagation for Heterogeneous Networks | VLDB 2017 | Link | Link |
| 2017 | HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks | ICDM 2017 | Link | Link |
| 2017 | GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graph | ICDM 2017 | Link | Link |
| 2017 | The Many Faces of Link Fraud | ICDM 2017 | Link | Link |
| 2017 | HoloScope: Topology-and-Spike Aware Fraud Detection | CIKM 2017 | Link | Link |
| 2017 | iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection | Mobile Information Systems 2017 | Link | Link |
| 2017 | Adaptive Spammer Detection with Sparse Group Modeling | ICWSM 2017 | Link | Link |
| 2017 | NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media | IEEE TIFS 2017 | Link | Link |
| 2016 | FRAUDAR: Bounding Graph Fraud in the Face of Camouflage | KDD 2016 | Link | Link |
| 2015 | AFRAID: Fraud detection via active inference in time-evolving social networks | ASONAM 2015 | Link | Link |
| 2015 | Collective Opinion Spam Detection: Bridging Review Networks and Metadata | KDD 2015 | Link | Link |
| 2014 | Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective | ICDM 2014 | Link | Link |
PyGOD: A Python Library for Graph Outlier Detection (Anomaly Detection)
DGFraud-TF2: A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.0
DGFraud: A Deep Graph-based Toolbox for Fraud Detection
UGFraud: An Unsupervised Graph-based Toolbox for Fraud Detection
Realtime Fraud Detection with GNN on DGL
GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba
Node Outlier Detection Benchmark
Twitter Fake News Propagation Graph Dataset
Yelp & Amazon Fraud Graph Dataset
TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs
FiGraph: A Dynamic Heterogeneous Graph Dataset for Financial Anomaly Detection
Fair Graph Anomaly Detection Benchmark
IBM Transactions for Anti Money Laundering (AML)
Financial Statement Fraud Dataset
Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
UTwitter: Unlabeled Twitter dataset for rumor detection
Risk Commodities Detection on Large-Scale E-commerce Graphs
Fraudster Nodes in Dynamic Financial Social Network
Anomalous Accounts in Transaction and Social Networks
Ethereum Fraud Detection Dataset
Ethereum Phishing Transaction Network
IEEE-CIS Fraud Detection Dataset
Outlier Detection DataSets (ODDS)
Graph Fraud Datasets from Prof. Srijan Kumar
Bitcoin Fraudulent Transaction Dataset
Mobile App Install Fraud Dataset
Large Language Models in the Abuse Detection Pipeline
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Graph-based Fake Account Detection: A Survey
Graph Neural Networks for Financial Fraud Detection: A Review
Deep Graph Anomaly Detection: A Survey and New Perspectives
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Fake News Detection Through Graph-based Neural Networks: A Survey
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Intelligent financial fraud detection practices in post-pandemic era
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Anomaly Mining - Past, Present and Future
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
Graph-based anomaly detection and description: a survey
Adversarial Attack and Defense on Graph Data: A Survey
Suspicious behavior detection: Current trends and future directions
False information on web and social media: A survey
Misinformation in Social Media: Definition, Manipulation, and Detection
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
[Thesis] Robust Graph Learning for Misbehavior Detection
[Blog] Graph Neural Network-based Graph Outlier Detection: A Brief Introduction
[Slides] Leveraging GNNs for Financial Fraud Detection: Practices and Challenges
[Slides] Graph Learning in Financial Networks by Jiaxuan You
[Blog] A Foundation Model for Consumption, Transactions, and Actions The Inception of BehaviorGPT
[Slides] Graph Neural Network-based Fraud Detection -- from Research to Application
[Video] Fraud Detection with Graph Neural Networks
[Video] Fake News Detection using Graphs with Pytorch Geometric
[Paper List] Graph Adversarial Learning Literature
[Paper List] Awesome Graph Anomaly Detection
[Paper List] Awesome Fraud Detection Research Papers
[Paper List] Awesome Anomaly Detection Foundation Models
[Tutorial] Graph-Based User Behavior Modeling: From Prediction to Fraud Detection
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