Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

31 Jul 2019Mark WeberGiacomo DomeniconiJie ChenDaniel Karl I. WeideleClaudio BelleiTom RobinsonCharles E. Leiserson

Anti-money laundering (AML) regulations play a critical role in safeguarding financial systems, but bear high costs for institutions and drive financial exclusion for those on the socioeconomic and international margins. The advent of cryptocurrency has introduced an intriguing paradox: pseudonymity allows criminals to hide in plain sight, but open data gives more power to investigators and enables the crowdsourcing of forensic analysis... (read more)

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