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Weixiong Liu

2 accepted papers

2025

Community-Aware Variational Autoencoder for Continuous Dynamic Networks

AAAI 2025technical

Variational autoencoder performs well in community detection on static networks, but it is difficult to directly extend to continuous dynamic networks. The main reason is that traditional methods mainly rely on adjacency structures to complete the inference and generation processes. However, continu…

Cited by 0SourcePDFScholar
2025

DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction

UAI 2025

Dynamic link prediction (DLP) is a crucial task in graph learning, aiming to predict future links between nodes at subsequent time in dynamic graphs. Recently, graph masked autoencoders (GMAEs) have shown promising performance in self-supervised learning. However, their application to DLP is under-e