A graph neural network model for financial fraud detection that incorporates transaction graphs, message passing, weighted supervision, and structural regularization outperforms baselines in risk ranking and probability calibration on a public dataset.
bib2"><number>[2]</number>Tian Y, Liu G. Transaction fraud detection via spatial-temporal-aware graph transformer[J]. arXiv preprint arXiv:2307.05121, 2023.</bib> <bib id=
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Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization
A graph neural network model for financial fraud detection that incorporates transaction graphs, message passing, weighted supervision, and structural regularization outperforms baselines in risk ranking and probability calibration on a public dataset.