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papersTODAY 04:00 UTC

Graph-Transformer Fraud Detection with Self-Supervised Pretraining and Conformal Risk Control

A new arXiv paper introduces GTFD, a graph-transformer approach for spotting fraud in corporate transaction networks. The method combines self-supervised pretraining with conformal risk control to handle coordinated fraud that rule-based systems and per-transaction models miss. It is positioned as an improvement over classical models that analyze each transaction in isolation.

arXivGTFDGraph-Transformerconformal risk controlfraud detectionself-supervised pretraining

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