most citedDeep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 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

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…