Networks are ubiquitous in the real world such as social networks and communication networks, anomaly detection on aims at finding nodes whose structural or attributed patterns deviate significantly from majority of reference nodes. However, most traditional methods neglect relation structure information among data points therefore cannot effectively generalize to graph data. In this paper, we ...