Amatriciana detects launderer accounts with a temporal GraphSAGE variant and a weighted MCC loss, reporting F1 0.76 and 55% fewer false positives than baseline GNNs on the IT-AML synthetic dataset.
Fraud detection decision support system for indonesian financial institution,
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Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection
Amatriciana detects launderer accounts with a temporal GraphSAGE variant and a weighted MCC loss, reporting F1 0.76 and 55% fewer false positives than baseline GNNs on the IT-AML synthetic dataset.