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Volume 9 Issue 9
Sep.  2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2022  >  9(9): 1691-1693
Z. G. Liu, G. X. Yuan, and X. Luo, “Symmetry and non-negativity-constrained matrix factorization for community detection,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 9, pp. 1691–1693, Sept. 2022. doi: 10.1109/JAS.2022.105794
Citation: Z. G. Liu, G. X. Yuan, and X. Luo, “Symmetry and non-negativity-constrained matrix factorization for community detection,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 9, pp. 1691–1693, Sept. 2022. doi: 10.1109/JAS.2022.105794
shu

Symmetry and Nonnegativity-Constrained Matrix Factorization for Community Detection

doi: 10.1109/JAS.2022.105794
  • 1.

    School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, and also with the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China

  • 2.

    Faculty of Liberal Arts and Social Sciences, The Education University of Hong Kong, Hong Kong 999077, China

  • 3.

    School of Computer Science and Technology, Dongguan University of Technology, Dongguan 523808, and also with the College of Computer and Information Science, Southwest University, Chongqing 400715, China

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    • Zhigang Liu and Guangxiao Yuan contributed equally to this work.
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