2025
GADACE: Graph Anomaly Detection Combining Attribute Contrast and Structure Reconstruction
ICASSP 2025accepted
Unsupervised graph anomaly detection aims to identify nodes that deviate from typical behaviors in graphs. Existing approaches can be briefly categorized into two main groups, namely, reconstruction-based approaches that detect anomalies through reconstruction errors, and contrastive learning-based…