AI RESEARCH
Extracting Money Laundering Transactions from Quasi-Temporal Graph Representation
arXiv CS.LG
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ArXi:2604.02899v1 Announce Type: new Money laundering presents a persistent challenge for financial institutions worldwide, while criminal organizations constantly evolve their tactics to bypass detection systems. Traditional anti-money laundering approaches mainly rely on predefined risk-based rules, leading to resource-intensive investigations and high numbers of false positive alerts.