305 citations · 612 across the 21 of their papers we have counts for
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cs.LG2022
High-order Multi-view Clustering for Generic Data
Erlin Pan, Zhao Kang
Graph-based multi-view clustering has achieved better performance than most non-graph approaches. However, in many real-world scenarios, the graph structure of data is not given or…
cs.LG2022★ 4 cited
Structure-Preserving Graph Representation Learning
Ruiyi Fang, Liangjian Wen, Zhao Kang +1
Though graph representation learning (GRL) has made significant progress, it is still a challenge to extract and embed the rich topological structure and feature information in an…
cs.LG2022
Scalable Multi-view Clustering with Graph Filtering
Liang Liu, Peng Chen, Guangchun Luo +3
With the explosive growth of multi-source data, multi-view clustering has attracted great attention in recent years. Most existing multi-view methods operate in raw feature space a…