Attributed graph clustering with subspace stochastic block model

DOI10.1016/j.ins.2020.05.044zbMath1460.62095OpenAlexW3026890678MaRDI QIDQ2023214

Junming Shao, Zhongjing Yu, Qinli Yang, Hao Ran Chen

Publication date: 3 May 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.05.044

zbMATH Keywords

community detectionstochastic block modelsubspace clusteringattributed network

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Small world graphs, complex networks (graph-theoretic aspects) (05C82)

Related Items

Triangular Concordance Learning of Networks

Uses Software

• LINE

Cites Work

• Unnamed Item
• Subspace clustering using a low-rank constrained autoencoder
• Modeling by shortest data description
• Lossy compression approach to subspace clustering
• Greedy orthogonal matching pursuit for subspace clustering to improve graph connectivity
• Robust low-rank kernel multi-view subspace clustering based on the Schatten \(p\)-norm and correntropy
• Mixed membership stochastic blockmodels
• Mixture models and exploratory analysis in networks
• Projected gradient methods for linearly constrained problems
• Community structure in social and biological networks
• Stochastic Blockmodels for Directed Graphs