Nonnegative matrix factorization with mixed hypergraph regularization for community detection
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Publication:2195421
DOI10.1016/j.ins.2018.01.008zbMath1440.68246OpenAlexW2782630728MaRDI QIDQ2195421
Publication date: 8 September 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2018.01.008
Factorization of matrices (15A23) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Learning and adaptive systems in artificial intelligence (68T05) Hypergraphs (05C65)
Related Items
A community detection algorithm based on graph compression for large-scale social networks ⋮ A survey of community detection methods in multilayer networks ⋮ Differentiated graph regularized non-negative matrix factorization for semi-supervised community detection ⋮ Low-rank nonnegative matrix factorization on Stiefel manifold ⋮ Efficient temporal core maintenance of massive graphs ⋮ A statistical framework for non-negative matrix factorization based on generalized dual divergence ⋮ An ideal point based many-objective optimization for community detection of complex networks ⋮ Community detection in error-prone environments based on particle cooperation and competition with distance dynamics
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- 10.1162/153244303321897735
- Fast unfolding of communities in large networks
- Graph Regularized Sparse Coding for Image Representation
- Overlapping community detection in networks
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