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Detecting Financial Fraud in Real-Time Transactions Using Graph Neural Networks and Anomaly Detection Techniques

Detecting Financial Fraud in Real-Time Transactions Using Graph Neural Networks and Anomaly Detection Techniques

The research “Detecting Financial Fraud in Real-Time Transactions Using Graph Neural Networks and Anomaly Detection Techniques” presents an AI-driven system for real-time fraud detection in digital payments. Using Graph Neural Networks and anomaly detection, the model analyzes transaction relationships and behavioral patterns to identify fraud faster, reduce
MSU Exponent Contributor