2 papers
cs.LG2020
One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks
Xuhong Wang, Baihong Jin, Ying Du +2
Nowadays, graph-structured data are increasingly used to model complex systems. Meanwhile, detecting anomalies from graph has become a vital research problem of pressing societal c…
cs.LG2019
adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection
Xuhong Wang, Ying Du, Shijie Lin +3
Recently, deep generative models have become increasingly popular in unsupervised anomaly detection. However, deep generative models aim at recovering the data distribution rather…