34 citations · 111 across the 13 of their papers we have counts for
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3 papers · 1 filter
cs.LG2020★ 2 cited
Unsupervised Graph Embedding via Adaptive Graph Learning
Rui Zhang, Yunxing Zhang, Xuelong Li
Graph autoencoders (GAEs) are powerful tools in representation learning for graph embedding. However, the performance of GAEs is very dependent on the quality of the graph structur…
cs.LG2020★ 5 cited
Adaptive Graph Auto-Encoder for General Data Clustering
Xuelong Li, Hongyuan Zhang, Rui Zhang
Graph-based clustering plays an important role in the clustering area. Recent studies about graph convolution neural networks have achieved impressive success on graph type data. H…
cs.LG2020★ 2 cited
Embedding Graph Auto-Encoder for Graph Clustering
Hongyuan Zhang, Rui Zhang, Xuelong Li
Graph clustering, aiming to partition nodes of a graph into various groups via an unsupervised approach, is an attractive topic in recent years. To improve the representative abili…