Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

Jingcan Duan, Siwei Wang, Pei Zhang +5

Graph anomaly detection (GAD) is a vital task in graph-based machine learning and has been widely applied in many real-world applications. The primary goal of GAD is to capture ano…