12 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks
Fengbin Zhang, Haoyi Fan, Ruidong Wang +2
Networks are ubiquitous in the real world such as social networks and communication networks, and anomaly detection on networks aims at finding nodes whose structural or attributed…
cs.LG2020★ 12 cited
AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks
Haoyi Fan, Fengbin Zhang, Zuoyong Li
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 su…
cs.LG2020
Correlation-aware Deep Generative Model for Unsupervised Anomaly Detection
Haoyi Fan, Fengbin Zhang, Ruidong Wang +2
Unsupervised anomaly detection aims to identify anomalous samples from highly complex and unstructured data, which is pervasive in both fundamental research and industrial applicat…