GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges

Jingjing Zhou, Shiyu Huang, Qing Qing +7

Graph Anomaly Detection (GAD) is a critical task in graph machine learning with vital applications in financial fraud detection and social platform governance. However, existing GA…