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Found 5 papers, 3 papers with code
CDC: A Simple Framework for Complex Data Clustering
In particular, we deploy CDC to graph data of size 111M.
Provable Filter for Real-world Graph Clustering
Motivated by this finding, we construct two graphs that are highly homophilic and heterophilic, respectively.
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering
This is attributed to their neglect of homophily in heterophilic graphs, and vice versa.
High-order Multi-view Clustering for Generic Data
Firstly, graph filtering is applied to encode structure information, which unifies the processing of attributed graph data and non-graph data in a single framework.
Multi-view Contrastive Graph Clustering
With the explosive growth of information technology, multi-view graph data have become increasingly prevalent and valuable.
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