Dual-Encoder Graph Anomaly Detection via Structural–Attribute Consistency Learning
Advanced Intelligent Systems and AI: 47AI 2026
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 information or node attributes…