Zixin Tan

GADACE: Graph Anomaly Detection Combining Attribute Contrast and Structure Reconstruction

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…