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Review Open access Jul 2026

Graph Neural Networks for Financial Fraud and Anomaly Detection

This paper reviews and consolidates how graph neural networks cast fraud and anomaly detection as node and edge classification over transaction graphs, where message passing propagates evidence among accounts, devices, and merchants.

Raji N · 0 citations

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