Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
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Cited by:
- Nasir Sultan & Norazida Mohamed & Mervyn Martin & Hafizah Mohd Latif, 2023. "Virtual currencies and money laundering: existing and prospects for jurisdictions that comprehensively prohibited virtual currencies like Pakistan," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 27(2), pages 395-412, May.
- Zeinab Rouhollahi, 2021. "Towards Artificial Intelligence Enabled Financial Crime Detection," Papers 2105.10866, arXiv.org.
- Yang, Guo-Hui & Zhong, Guang-Yan & Wang, Li-Ya & Xie, Zu-Guang & Li, Jiang-Cheng, 2024. "A hybrid forecasting framework based on MCS and machine learning for higher dimensional and unbalanced systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
- Alexander Wong & Andrew Hryniowski & Xiao Yu Wang, 2020. "Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning," Papers 2011.01961, arXiv.org.
- Claudio Bellei & Muhua Xu & Ross Phillips & Tom Robinson & Mark Weber & Tim Kaler & Charles E. Leiserson & Arvind & Jie Chen, 2024. "The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset," Papers 2404.19109, arXiv.org, revised Jul 2024.
- Ourania Theodosiadou & Alexandros-Michail Koufakis & Theodora Tsikrika & Stefanos Vrochidis & Ioannis Kompatsiaris, 2023. "Change Point Analysis of Time Series Related to Bitcoin Transactions: Towards the Detection of Illegal Activities," JRFM, MDPI, vol. 16(9), pages 1-20, September.
- Wai Weng Lo & Gayan K. Kulatilleke & Mohanad Sarhan & Siamak Layeghy & Marius Portmann, 2022. "Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering Detection in Bitcoin," Papers 2203.10465, arXiv.org, revised Oct 2022.
- Jianian Wang & Sheng Zhang & Yanghua Xiao & Rui Song, 2021. "A Review on Graph Neural Network Methods in Financial Applications," Papers 2111.15367, arXiv.org, revised Apr 2022.
- Lin, Dan & Wu, Jiajing & Xuan, Qi & Tse, Chi K., 2022. "Ethereum transaction tracking: Inferring evolution of transaction networks via link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2019-09-02 (Big Data)
- NEP-FLE-2019-09-02 (Financial Literacy and Education)
- NEP-PAY-2019-09-02 (Payment Systems and Financial Technology)
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