Graph Anomaly Detection

Graph Anomaly Detection is a technique used to identify abnormal patterns in graph-structured data, aiming to discover potential anomalies by detecting nodes, edges, or subgraphs that deviate from normal behavior. This technology has significant application value in areas such as cybersecurity, financial fraud detection, and social network analysis, effectively enhancing the security and reliability of systems.