This repository explores explainable deep learning models for financial fraud detection and anomaly analysis. It integrates Graph Neural Networks (GNNs), Autoencoders, and SHAP-based explainability to identify and interpret fraudulent behaviors in transactional data.
☆416Oct 20, 2025Updated 9 months ago
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