Self-supervised graph autoencoder with redundancy reduction for community detection

Xiaofeng Wang; Guodong Shen; Zengjie Zhang; Shuaiming Lai; Shuailei Zhu; Yuntao Chen; Daying Quan

doi:10.1016/j.neucom.2024.127703

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Self-supervised graph autoencoder with redundancy reduction for community detection

Xiaofeng Wang Guodong Shen Zengjie Zhang Shuaiming Lai Shuailei Zhu Yuntao Chen Daying Quan

Year: 2024 Journal: Neurocomputing Vol: 590 Pages: 127703-127703 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2024.127703

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Keywords:

Autoencoder Computer science Cluster analysis Redundancy (engineering) Graph Artificial intelligence Discriminative model Dimensionality reduction Feature learning Graph embedding Pattern recognition (psychology) Machine learning Data mining Artificial neural network Embedding Theoretical computer science

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Complex Network Analysis Techniques

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

Self-supervised graph autoencoder with redundancy reduction for community detection

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