Abstract: Anomaly detection is essential in industrial cyber-physical systems (ICPS) for monitoring both system and environmental conditions. However, effective anomaly detection remains a continuous ...

This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...

Abstract: Software risk detection is a critical aspect of ensuring software security and reliability. However, challenges remain in effectively capturing complex structural and semantic relationships ...