Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection

Shouju Wang, Yuchen Song, Sheng'en Li +1

Graph anomaly detection (GAD) has become an increasingly important task across various domains. With the rapid development of graph neural networks (GNNs), GAD methods have achieve…