Jan 29, 2021 · Community detection is a popular yet thorny issue in social network analysis. A symmetric and nonnegative matrix factorization (SNMF) model ...
Abstract—Community detection is a popular yet thorny issue in social network analysis. A symmetric and nonnegative matrix factorization (SNMF) model based ...
Community detection is a popular yet thorny issue in social network analysis. A symmetric and nonnegative matrix factorization (SNMF) model based on a ...
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Dive into the research topics of 'Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis'. Together they ...
Zhou, “Symmetric nonnegative matrix factorization-based community detection models and their convergence analysis,” IEEE Transactions on Neural Networks and ...
Community detection models based on non-negative matrix factorization (NMF) are shallow and fail to fully discover the internal structure of complex networks.
[42] propose a nonnegative encoder-decoder-based model for community detection, which introduces an encoder to transform the adjacency matrix into a low ...
We categorize existing approaches broadly into three groups: model-based parameter inference methods, spe- cialized algorithms that offer provable guarantees, ...
Nov 7, 2023 · This paper reviews symmetric non-negative matrix factorization (SNMF). •. We discuss the theoretical idea, the basic model and the variants ...
Apr 2, 2024 · As modularity is the basic and thorough criterion for evaluating and validating performance of community detection methods, this paper proposes ...