SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs

Sheng Tian, Jihai Dong, Jintang Li +7

Anomaly detection aims to distinguish abnormal instances that deviate significantly from the majority of benign ones. As instances that appear in the real world are naturally conne…