fuqishuang228/GNN-for-Anti-money-launedring

Python

0 commits

updated Jan 9, 2024

See the code

README

Awesome Resources on Graph Neural Networks for Anti-money laundering

This repository contains the relevant resources on graph neural network (GNN) for Anti-money laundering (AML).

If you find anything incorrect, please let me know. Thanks!

License

GNN4AML Papers

2023

Year	Title	Venue	Paper	Code
2023	Anti-Money Laundering by Group-Aware Deep Graph Learning	IEEE TKDE	Link	[Link]
2023	Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network	PAKDD	Link	[Link]
2023	Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering	KDD	Link	[Link]
2023	Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network	AAAI	Link	[Link]
2023	Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering	arXiv	Link	[Link]

2021

Year	Title	Venue	Paper	Code
2021	Money laundering and terrorism financing detection using neural networks and an abnormality indicator	Expert System With Applications	Link	Link

2020

Year	Title	Venue	Paper	Code
2020	Competence of graph convolutional networks for anti-money laundering in bitcoin blockchain	ICMLT	Link	[Link]

2019 and before

Year	Title	Venue	Paper	Code
2019	Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics	KDD	Link	Link
2019	Characterizing and Detecting Money Laundering Activities on the Bitcoin Network	arXiv	Link	Link
2018	Nextgen AML: Distributed Deep Learning Based Language Technologies to Augment Anti Money Laundering Investigation	ACL	Link	Link
2017	Detection of Money Laundering Groups: Supervised Learning on Small Networks	AAAI	Link	Link

AML Survey Papers

Year	Title	Venue	Paper	Code
2018	Scalable Graph Learning for Anti-Money Laundering: A First Look	NeurIPS	Link	Link

GNN for Fraud Detection Papers

Year	Title	Venue	Paper	Code
2023	Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum	ICDM Workshop	Link	Link
2023	Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks	arXiv	Link	Link

Datasets

To be added

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fuqishuang228/GNN-for-Anti-money-launedring

Python

0 commits

updated Jan 9, 2024

See the code

README

Awesome Resources on Graph Neural Networks for Anti-money laundering

This repository contains the relevant resources on graph neural network (GNN) for Anti-money laundering (AML).

If you find anything incorrect, please let me know. Thanks!

License

GNN4AML Papers

2023

Year	Title	Venue	Paper	Code
2023	Anti-Money Laundering by Group-Aware Deep Graph Learning	IEEE TKDE	Link	[Link]
2023	Anti-Money Laundering in Cryptocurrency via Multi-Relational Graph Neural Network	PAKDD	Link	[Link]
2023	Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering	KDD	Link	[Link]
2023	Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network	AAAI	Link	[Link]
2023	Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering	arXiv	Link	[Link]

2021

Year	Title	Venue	Paper	Code
2021	Money laundering and terrorism financing detection using neural networks and an abnormality indicator	Expert System With Applications	Link	Link

2020

Year	Title	Venue	Paper	Code
2020	Competence of graph convolutional networks for anti-money laundering in bitcoin blockchain	ICMLT	Link	[Link]

2019 and before

Year	Title	Venue	Paper	Code
2019	Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics	KDD	Link	Link
2019	Characterizing and Detecting Money Laundering Activities on the Bitcoin Network	arXiv	Link	Link
2018	Nextgen AML: Distributed Deep Learning Based Language Technologies to Augment Anti Money Laundering Investigation	ACL	Link	Link
2017	Detection of Money Laundering Groups: Supervised Learning on Small Networks	AAAI	Link	Link

AML Survey Papers

Year	Title	Venue	Paper	Code
2018	Scalable Graph Learning for Anti-Money Laundering: A First Look	NeurIPS	Link	Link

GNN for Fraud Detection Papers

Year	Title	Venue	Paper	Code
2023	Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum	ICDM Workshop	Link	Link
2023	Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks	arXiv	Link	Link

Datasets

To be added

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links to conference publications in graph-based deep learning

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