4 papers
CEP3: Community Event Prediction with Neural Point Process on Graph
Xuhong Wang, Sirui Chen, Yixuan He +4
Many real world applications can be formulated as event forecasting on Continuous Time Dynamic Graphs (CTDGs) where the occurrence of a timed event between two entities is represen…
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Xuhong Wang, Ding Lyu, Mengjian Li +8
Limited by the time complexity of querying k-hop neighbors in a graph database, most graph algorithms cannot be deployed online and execute millisecond-level inference. This proble…
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…
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…