2023
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
AAAI 2023technical
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 anomalous nodes from graph datasets, which evidently deviate from the majority of nodes. Recent methods have paid attention…