most citedEfficient Multi-View Graph Clustering with Local and Global Structure Preservation

39 citations · 95 across the 6 of their papers we have counts for

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cs.LG2023★ 39 cited

Efficient Multi-View Graph Clustering with Local and Global Structure Preservation

Yi Wen, Suyuan Liu, Xinhang Wan +5

Anchor-based multi-view graph clustering (AMVGC) has received abundant attention owing to its high efficiency and the capability to capture complementary structural information acr…

cs.LG2023★ 36 cited

Scalable Incomplete Multi-View Clustering with Structure Alignment

Yi Wen, Siwei Wang, Ke Liang +6

The success of existing multi-view clustering (MVC) relies on the assumption that all views are complete. However, samples are usually partially available due to data corruption or…

cs.LG2023★ 4 cited

Unpaired Multi-View Graph Clustering with Cross-View Structure Matching

Yi Wen, Siwei Wang, Qing Liao +4

Multi-view clustering (MVC), which effectively fuses information from multiple views for better performance, has received increasing attention. Most existing MVC methods assume tha…

cs.LG2023★ 1 cited

One-step Multi-view Clustering with Diverse Representation

Xinhang Wan, Jiyuan Liu, Xinwang Liu +5

Multi-view clustering has attracted broad attention due to its capacity to utilize consistent and complementary information among views. Although tremendous progress has been made…

cs.LG2023★ 8 cited

Auto-weighted Multi-view Clustering for Large-scale Data

Xinhang Wan, Xinwang Liu, Jiyuan Liu +6

Multi-view clustering has gained broad attention owing to its capacity to exploit complementary information across multiple data views. Although existing methods demonstrate deligh…