Symmetry-constrained Non-negative Matrix Factorization Approach for Highly-Accurate Community Detection

Zhigang Liu, Xin Luo 0001, MengChu Zhou. Symmetry-constrained Non-negative Matrix Factorization Approach for Highly-Accurate Community Detection. In 17th IEEE International Conference on Automation Science and Engineering, CASE 2021, Lyon, France, August 23-27, 2021. pages 1521-1526, IEEE, 2021. [doi]

@inproceedings{LiuLZ21-6,
  title = {Symmetry-constrained Non-negative Matrix Factorization Approach for Highly-Accurate Community Detection},
  author = {Zhigang Liu and Xin Luo 0001 and MengChu Zhou},
  year = {2021},
  doi = {10.1109/CASE49439.2021.9551446},
  url = {https://doi.org/10.1109/CASE49439.2021.9551446},
  researchr = {https://researchr.org/publication/LiuLZ21-6},
  cites = {0},
  citedby = {0},
  pages = {1521-1526},
  booktitle = {17th IEEE International Conference on Automation Science and Engineering, CASE 2021, Lyon, France, August 23-27, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1873-7},
}