Cloudy1225/Awesome-Link-Prediction

A list of recent papers about Link Prediction.

142

65 commits

updated Sep 23, 2026

README

Awesome Link Prediction

Link Prediction (LP) attempts to predict unobserved edges in a graph. It has been adopted in many applications including recommender systems, social networks, knowledge graphs, and drug discovery. We collect papers published at JMLR, TPAMI, NIPS, ICML, ICLR, WWW, WSDM, LoG, KDD, VLDB, CIKM, TKDE, AAAI, IJCAI, ECML/PKDD, AISTATS, ICDM, SIGIR, ICDE, INFOCOM, ACL, ISWC, TNNLS, TKDD, ECAI, DASFAA, ICASSP, TMLR, Nature Communications, Pattern Recognition, Machine Learning, Information Processing and Management, TBD and so on.

Survey/Benchmark/Dataset

Year	Title	Venue	Code
2025	Towards Understanding Link Predictor Generalizability Under Distribution Shifts	KDD	Link
2024	A Survey on Hyperlink Prediction	TNNLS	Link
2024	MOTI$\mathcal{V}\mathcal{E}$: A Drug-Target Interaction Graph For Inductive Link Prediction	NIPS	Link
2023	Temporal Link Prediction: A Unified Framework, Taxonomy, and Review	CSUR	Link
2023	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking	NIPS	Link
2022	Towards Better Evaluation for Dynamic Link Prediction	NIPS	Link

Graph

Year	Title	Venue	Code
2026	Self-Explaining Graph Neural Network for Link Prediction Based on Path-Aware Prototype Learning	TKDE	Link
2026	MIMO-LP: A Multi-Input Multi-Output Framework for Subgraph-based Link Prediction	ICML	Link
2026	Plain Transformers are Surprisingly Powerful Link Predictors	ICML	Link
2026	Rethinking Link Prediction for Directed Graphs	TPAMI	Link
2026	Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity	AAAI	Link
2026	Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction	AAAI	Link
2026	Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction	AAAI	Link
2026	PRISM: Link Prediction in Attributed Networks With Uncertain Modalities	TKDE	Link
2025	Bridging Theory and Practice in Link Representation with Graph Neural Networks	NIPS	Link
2025	OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction	NIPS	Link
2025	Adaptive Network Automata Modelling of Complex Networks for Link Prediction	NIPS	Link
2025	Implicit Degree Bias in the Link Rrediction Task	ICML	Link
2025	Complete-Tree Space Favors Data-Efficient Link Prediction	ICML	Link
2025	Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction	ICML	Link
2025	Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick	JMLR	Link
2025	Efficient Neural Common Neighbor for Temporal Graph Link Prediction	LoG	Link
2025	Weak Models Can be Good Teachers: A Case Study on Link Prediction with MLPs	LoG	Link
2025	Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning	AAAI	Link
2025	A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation	KDD	Link
2025	Towards Understanding Link Predictor Generalizability Under Distribution Shifts	KDD	Link
2025	Attribute-Enhanced Similarity Ranking for Sparse Link Prediction	KDD	Link
2025	Universal Link Predictor By In-Context Learning on Graphs	TMLR	Link
2025	Node Duplication Improves Cold-start Link Prediction	TMLR	Link
2025	Hyperdimensional Representation Learning for Node Classification and Link Prediction	WSDM	Link
2025	CGLE: Class-label Graph Link Estimator for Link Prediction	ICDM	Link
2025	Reconsidering the Performance of GAE in Link Prediction	CIKM	Link
2025	LinkGPT: Leveraging Large Language Models for Enhanced Link Prediction in Text-Attributed Graphs	CIKM	Link
2025	Enhancing Contrastive Link Prediction With Edge Balancing Augmentation	CIKM	Link
2025	Norm Augmented Graph AutoEncoders for Link Prediction	ICASSP	Link
2025	Directed Hypergraph Representation Learning for Link Prediction	AISTATS	Link
2025	Boosting GNN-Based Link Prediction via PU-AUC Optimization	TKDE	Link
2025	Graph Attention-based Adaptive Transfer Learning for Link Prediction	TIST	Link
2025	Self-representation-based Generative Graph Neural Networks for End-to-End Link Prediction	TBD	Link
2024	Pure Message Passing Can Estimate Common Neighbor for Link Prediction	NIPS	Link
2024	On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks	NIPS	Link
2024	Mixture of Link Predictors on Graphs	NIPS	Link
2024	PageRank Bandits for Link Prediction	NIPS	Link
2024	LinkGPT: Teaching Large Language Models To Predict Missing Links	NIPS-W	Link
2024	Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction	ICML	Link
2024	A Topological Perspective on Demystifying GNN-Based Link Prediction Performance	ICLR	Link
2024	Neural Common Neighbor with Completion for Link Prediction	ICLR	Link
2024	Revisiting Link Prediction: A Data Perspective	ICLR	Link
2024	Conformalized Link Prediction on Graph Neural Networks	KDD	Link
2024	Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement	KDD	Link
2024	LPFormer: An Adaptive Graph Transformer for Link Prediction	KDD	Link
2024	Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction	KDD	Link
2024	Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction	WWW	Link
2024	Decoupled Variational Graph Autoencoder for Link Prediction	WWW	Link
2024	Diffusion-based Negative Sampling on Graphs for Link Prediction	WWW	Link
2024	Learning Scalable Structural Representations for Link Prediction with Bloom Signatures	WWW	Link
2024	Structural Information Enhanced Graph Representation for Link Prediction	AAAI	Link
2024	Differentially Private Graph Neural Networks for Link Prediction	ICDE	Link
2024	Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction	WSDM	Link
2024	Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices	WSDM	Link
2024	Link Prediction with Untrained Message Passing Layers	LoG	Link
2024	Sub-graph Based Diffusion Model for Link Prediction	LoG	Link
2024	Link Prediction Without Learning	ECAI	Link
2024	Efficient Link Prediction via GNN Layers Induced by Negative Sampling	TKDE	Link
2024	Asymmetric Learning for Graph Neural Network based Link Prediction	TKDD	Link
2024	Edge Contrastive Learning for Link Prediction	IPM	Link
2023	Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking	NIPS	Link
2023	Combating Bilateral Edge Noise for Robust Link Prediction	NIPS	Link
2023	Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective	NIPS	Link
2023	Deep Insights into Noisy Pseudo Labeling on Graph Data	NIPS	Link
2023	Inductive Link Prediction in Static and Temporal Graphs for Isolated Nodes	NIPS-W	Link
2023	Linkless Link Prediction via Relational Distillation	ICML	Link
2023	Graph Neural Networks for Link Prediction with Subgraph Sketching	ICLR	Link
2023	Link Prediction with Non-Contrastive Learning	ICLR	Link
2023	Rethinking Higher-order Representation Learning with Graph Neural Networks	LoG	Link
2023	DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication	KDD	Link
2023	xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction	WWW	Link
2023	Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks	WWW	Link
2023	Graph2Feat: Inductive Link Prediction via Knowledge Distillation	WWW-C	Link
2023	SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning	VLDB	Link
2023	Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection	WSDM	Link
2023	Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between Groups	WSDM	Link
2023	Joint Link Prediction Via Inference from a Model	CIKM	Link
2023	Non-Negative Matrix Factorization for Link Prediction Preserving Row and Column Spaces	ICDM	Link
2023	Enhancing Link Prediction with Self-Discriminating Augmentation for Structure-Aware Contrastive Learning	ECAI	Link
2023	Few-Shot Link Prediction for Event-Based Social Networks via Meta-learning	DASFAA	Link
2023	A Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation	DASFAA	Link
2023	Elementary Subgraph Features for Link Prediction With Neural Networks	TKDE	Link
2023	You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction	TMLR	Link
2023	Inherent Limits on Topology-Based Link Prediction	TMLR	Link
2023	Line Graph Contrastive Learning for Link Prediction	Pattern Recognit.	Link
2022	OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs	NIPS	Link
2022	Geodesic Graph Neural Network for Efficient Graph Representation Learning	NIPS	Link
2022	Learning from Counterfactual Links for Link Prediction	ICML	Link
2022	Neural Link Prediction with Walk Pooling	ICLR	Link
2022	Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks	ICLR	Link
2022	FakeEdge: Alleviate Dataset Shift in Link Prediction	LoG	Link
2022	Flashlight: Scalable Link Prediction with Effective Decoders	LoG	Link
2022	Effective Higher-order Link Prediction and Reconstruction from Simplicial Complex Embeddings	LoG	Link
2022	Similarity-based Link Prediction from Modular Compression of Network Flows	LoG	Link
2022	Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning	VLDB	Link
2022	Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction	IJCAI	Link
2022	Multi-Scale Variational Graph AutoEncoder for Link Prediction	WSDM	Link
2022	RelpNet: Relation-based Link Prediction Neural Network	CIKM	Link
2022	Sampling Enclosing Subgraphs for Link Prediction	CIKM	Link
2022	How Neural Processes Improve Graph Link Prediction	ICASSP	Link
2022	Degree-Related Bias in Link Prediction	ICDM-W	Link
2022	Line Graph Neural Networks for Link Prediction	TPAMI	Link
2022	Link Prediction with Contextualized Self-Supervision	TKDE	Link
2021	Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction	NIPS	Link
2021	Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction	NIPS	Link
2021	Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning	NIPS	Link
2021	Link Prediction with Persistent Homology: An Interactive View	ICML	Link
2021	Hashing-Accelerated Graph Neural Networks for Link Prediction	WWW	Link
2021	Identity-aware Graph Neural Networks	AAAI	Link
2021	Adversarial Permutation Guided Node Representations for Link Prediction	AAAI	Link
2021	Differentially Private Link Prediction With Protected Connections	AAAI	Link
2021	Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy	CIKM	Link
2021	Variational Graph Normalized AutoEncoders	CIKM	Link
2021	Attention Based Subgraph Classification for Link Prediction by Network Re-weighting	CIKM	Link
2021	From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction	CIKM	Link
2021	Inductive Link Prediction with Interactive Structure Learning on Attributed Graph	ECML/PKDD	Link
2021	Neighborhood Attention Networks With Adversarial Learning for Link Prediction	TNNLS	Link
2020	Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning	NIPS	Link
2020	Understanding Negative Sampling in Graph Representation Learning	KDD	Link
2020	Feature Fusion Based Subgraph Classification for Link Prediction	CIKM	Link
2020	Hyper-Substructure Enhanced Link Predictor	CIKM	Link
2020	Exploiting Common Neighbor Graph for Link Prediction	CIKM	Link
2020	Simple and Effective Graph Autoencoders with One-Hop Linear Models	ECML/PKDD	Link
2019	Link Prediction in Networks with Core-Fringe Data	WWW	Link
2019	Robust Embedding with Multi-Level Structures for Link Prediction	IJCAI	Link
2019	Spring-Electrical Models For Link Prediction	WSDM	Link
2019	Gravity-Inspired Graph Autoencoders for Directed Link Prediction	CIKM	Link
2019	Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention	CIKM	Link
2019	Neighborhood Interaction Attention Network for Link Prediction	CIKM	Link
2018	Link Prediction Based on Graph Neural Networks	NIPS	Link
2018	Adversarially Regularized Graph Autoencoder for Graph Embedding	IJCAI	Link
2017	Weisfeiler-Lehman Neural Machine for Link Prediction	KDD	Link
2017	Predictive Network Representation Learning for Link Prediction	SIGIR	Link
2016	Variational Graph Auto-Encoders	NIPS-W	Link

Heterogeneous Graph

Year	Title	Venue	Code
2025	LUSTER: Link Prediction Utilizing Shared-Latent Space Representation in Multi-Layer Networks	WWW	Link
2024	Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous Graphs	KDD	Link
2024	Link Prediction on Multilayer Networks through Learning of Within-Layer and Across-Layer Node-Pair Structural Features and Node Embedding Similarity	WWW	Link
2024	LPNL: Scalable Link Prediction with Large Language Models	ACL	Link
2024	Link Prediction in Multilayer Networks via Cross-Network Embedding	AAAI	Link
2023	PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction	WWW	Link
2023	Link Prediction on Latent Heterogeneous Graphs	WWW	Link
2023	Graph2Feat: Inductive Link Prediction via Knowledge Distillation	WWW-C	Link
2023	Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction	CIKM	Link
2023	FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction	DASFAA	Link
2023	TDAN: Transferable Domain Adversarial Network for Link Prediction in Heterogeneous Social Networks	TKDD	Link
2023	Resisting the Edge-Type Disturbance for Link Prediction in Heterogeneous Networks	TKDD	Link
2023	Neighborhood overlap-aware heterogeneous hypergraph neural network for link prediction	Pattern Recognit.	Link
2022	Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective	ICDM	Link
2021	Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks	WWW	Link
2021	Topic-aware Heterogeneous Graph Neural Network for Link Prediction	CIKM	Link
2021	Heterogeneous Hypergraph Variational Autoencoder for Link Prediction	TPAMI	Link
2020	Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN	CIKM	Link

Dynamic Graph

Year	Title	Venue	Code
2026	Higher-order Structure Boosts Link Prediction on Temporal Graphs	SDM	Link
2026	Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction	AAAI	Link
2026	Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs	AAAI	Link
2025	TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction	NIPS	Link
2025	Future Link Prediction Without Memory or Aggregation	NIPS	Link
2025	TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction	ICML	Link
2025	Learnable Spatial-Temporal Positional Encoding for Link Prediction	ICML	Link
2025	Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction	ICML	Link
2025	Position-Aware Neighbor Aggregation for Dynamic Link Prediction	KDD	Link
2025	On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction	KDD	Link
2025	On the Cross-Graph Transferability of Dynamic Link Prediction	WWW	Link
2025	Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs	WWW	Link
2025	Enhancing Cross-domain Link Prediction via Evolution Process Modeling	WWW	Link
2025	Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method	AAAI	Link
2024	Improving Temporal Link Prediction via Temporal Walk Matrix Projection	NIPS	Link
2024	Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction	KDD	Link
2024	FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction	ICLR	Link
2024	Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs	AAAI	Link
2024	Sequential stacking link prediction algorithms for temporal networks	Nature Comm.	Link
2023	An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction	WWW	Link
2023	HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction	WWW	Link
2023	Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs	WWW	Link
2023	Dynamic Group Link Prediction in Continuous-Time Interaction Network	IJCAI	Link
2023	Super Resolution Graph With Conditional Normalizing Flows for Temporal Link Prediction	TKDE	Link
2023	High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation	TKDE	Link
2023	Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs	WSDM	Link
2023	Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction	CIKM	Link
2023	Temporal and Topological Augmentation-based Cross-view Contrastive Learning Model for Temporal Link Prediction	CIKM	Link
2023	Temporal graph learning for dynamic link prediction with text in online social networks	Machine Learning	Link
2023	DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks	TKDD	Link
2022	TempEL: Linking Dynamically Evolving and Newly Emerging Entities	NIPS	Link
2022	Parameter-free Dynamic Graph Embedding for Link Prediction	NIPS	Link
2022	Towards Better Evaluation for Dynamic Link Prediction	NIPS	Link
2022	TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs	AAAI	Link
2022	Few-shot Link Prediction in Dynamic Networks	WSDM	Link
2021	Temporal Link Prediction Via Reinforcement Learning	ICASSP	Link
2021	Temporal Link Prediction With Motifs for Social Networks	TKDE	Link
2020	Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network	WWW	Link
2020	Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN	CIKM	Link
2019	GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks	INFOCOM	Link
2019	Time-aware Gradient Attack on Dynamic Network Link Prediction	TKDE	Link

Hypergraph

Year	Title	Venue	Code
2023	HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks	WWW	Link
2023	Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach	ICDE	Link
2023	Interpretable Subgraph Feature Extraction for Hyperlink Prediction	ICDM	Link
2022	Explainable Link Prediction in Knowledge Hypergraphs	CIKM	Link
2021	Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks	WWW	Link
2021	Heterogeneous Hypergraph Variational Autoencoder for Link Prediction	TPAMI	Link
2020	NHP: Neural Hypergraph Link Prediction	CIKM	Link

Signed Graph

Year	Title	Venue	Code
2026	A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction	ICLR	Link
2025	SMA-GNN: A Symbol-Aware Graph Neural Network for Signed Link Prediction in Recommender Systems	KDD	Link
2025	GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs	CIKM	Link
2025	Self-Explainable Graph Transformer for Link Sign Prediction	AAAI	Link
2023	Learning Pair-Centric Representation for Link Sign Prediction with Subgraph	CIKM	Link
2020	Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph	TKDE	Link
2019	Link Prediction with Signed Latent Factors in Signed Social Networks	KDD	Link

Knowledge Graph

Year	Title	Venue	Code
2026	On the Theoretical Limitations of Embedding-based Link Prediction	ICML	Link
2026	Adaptive Knowledge Distillation With GCN–GAT Teacher–Student Models for Link Prediction on Out of Entity Triples	TKDE	Link
2026	HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs	ICLR	Link
2026	UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction	AAAI	Link
2025	Leveraging Open Path from Pruned Graph for Link Prediction on Knowledge Graphs	ISWC	Link
2025	Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs	KDD	Link
2025	Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors	ACL	Link
2025	HyperFM: Fact-Centric Multimodal Fusion for Link Prediction over Hyper-Relational Knowledge Graphs	ACL	Link
2025	HySAE: An Efficient Semantic-Enhanced Representation Learning Model for Knowledge Hypergraph Link Prediction	WWW	Link
2025	Transfer-and-Fusion: Integrated Link Prediction Across Knowledge Graphs	TKDE	Link
2024	Causal Subgraph Learning for Generalizable Inductive Relation Prediction	KDD	Link
2024	Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors	ICLR	Link
2024	Using Model Calibration to Evaluate Link Prediction in Knowledge Graphs	WWW	Link
2024	UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph	WWW	Link
2024	Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning	WWW	Link
2024	Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction	AAAI	Link
2024	Inductive Link Prediction for Sequential-emerging Knowledge Graph	ICDE	Link
2024	A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models	ICDM	Link
2023	A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs	NIPS	Link
2023	Adapting Neural Link Predictors for Data-Efficient Complex Query Answering	NIPS	Link
2023	Multi-Grained Multimodal Interaction Network for Entity Linking	KDD	Link
2023	HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks	WWW	Link
2023	Knowledge Graph Completion with Counterfactual Augmentation	WWW	Link
2023	IMF: Interactive Multimodal Fusion Model for Link Prediction	WWW	Link
2023	DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing	AAAI	Link
2023	Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction	AAAI	Link
2023	A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction	IJCAI	Link
2023	A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings	CIKM	Link
2023	A Retrieve-and-Read Framework for Knowledge Graph Link Prediction	CIKM	Link
2023	Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph	ECAI	Link
2023	Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach	ECML/PKDD	Link
2022	TempEL: Linking Dynamically Evolving and Newly Emerging Entities	NIPS	Link
2022	Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs	AAAI	Link
2022	TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs	AAAI	Link
2022	Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs	IJCAI	Link
2022	Augmenting Knowledge Graphs for Better Link Prediction	IJCAI	Link
2022	Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction	WSDM	Link
2022	Explainable Link Prediction in Knowledge Hypergraphs	CIKM	Link
2022	Hypernode: Entity Fusion for Data Traceability and Link Prediction	ICDM	Link
2022	Subgraph Representation Learning with Hard Negative Samples for Inductive Link Prediction	ICASSP	Link
2022	Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning	TKDE	Link
2021	Inductive Entity Representations from Text via Link Prediction	WWW	Link
2021	Revisiting the Evaluation Protocol of Knowledge Graph Completion Methods for Link Prediction	WWW	Link
2021	Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs	AAAI	Link
2021	Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction	AAAI	Link
2021	Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction	IJCAI	Link
2021	Inter-domain Multi-relational Link Prediction	ECML/PKDD	Link
2021	Temporal Link Prediction Via Reinforcement Learning	ICASSP	Link
2021	Link Prediction on N-ary Relational Data Based on Relatedness Evaluation	TKDE	Link
2021	OAG-: Self-Supervised Learning for Linking Knowledge Graphs	TKDE	Link
2020	Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction	NIPS	Link
2020	Inductive Relation Prediction by Subgraph Reasoning	ICML	Link
2020	LowFER: Low-rank Bilinear Pooling for Link Prediction	ICML	Link
2020	Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction	WWW	Link
2020	Searching for Embeddings in a Haystack: Link Prediction on Knowledge Graphs with Subgraph Pruning	WWW	Link
2020	NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search	CIKM	Link
2020	Embedding based Link Prediction for Knowledge Graph Completion	CIKM	Link
2019	ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs	WWW	Link
2019	A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity	WWW	Link

Recommender System

Year	Title	Venue	Code
2025	SMA-GNN: A Symbol-Aware Graph Neural Network for Signed Link Prediction in Recommender Systems	KDD	Link
2024	Link Recommendation to Augment Influence Diffusion with Provable Guarantees	WWW	Link
2023	On the Relationship Between Relevance and Conflict in Online Social Link Recommendations	NIPS	Link
2022	Link Recommendations for PageRank Fairness	WWW	Link
2021	Minimizing Polarization and Disagreement in Social Networks via Link Recommendation	NIPS	Link
2021	Correcting Exposure Bias for Link Recommendation	ICML	Link
2021	Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation	TKDE	Link
2020	Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction	KDD	Link
2019	Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks	TKDE	Link

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