Hedia Zardi

Dual-Encoder Graph Anomaly Detection via Structural–Attribute Consistency Learning

Static graph anomaly detection is important in applications such as cybersecurity, fraud detection, and social network analysis. However, detecting anomalies in attributed graphs remains challenging because of complex graph structures and limited labeled data. Existing methods often focus on either structural informati...