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MINT: Mitigating Structural Inconsistency via Attentive Message Passing for Financial Anomaly Detection

Wu, Yin-Ju et al.
arXiv (All) · Papers
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machine-learning
Illicit account detection is a critical task for financial risk control systems, aiming to pinpoint malicious actors within transaction networks. Existing efforts typically recast transaction networks into directed multigraphs and leverage graph neural networks (GNNs) to detect anomalies via topolog
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