From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection

Yulin Zhu, Yuni Lai, Kaifa Zhao +5

The success of graph neural networks stimulates the prosperity of graph mining and the corresponding downstream tasks including graph anomaly detection (GAD). However, it has been…