Anomalydae: Dual Autoencoder for Anomaly Detection on Attributed Networks

Anomaly detection on attributed networks aims at finding nodes whose patterns deviate significantly from the majority of reference nodes, which is pervasive in many applications such as network intrusion detection and social spammer detection. However, most existing methods neglect the complex cross... View More