Hybrid Framework of Graph Neural Networks, Federated Learning and Explainable Artificial Intelligence for Real-Time Fraud Detection and Anti-Money Laundering
The increased sophistication of fraudulent schemes and money laundering techniques is placing significant pressure on conventional fraud detection systems and models. This study presents a hybrid framework that integrates Graph Neural Networks, Federated Learning and Explainable Artificial Intelligence for real-time fr...