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	Constraint-Induced Symmetric Nonnegative Matrix Factorization for Accurate Community Detection 期刊论文 INFORMATION FUSION, 2023, 卷号: 89, 页码: 588-602 作者:  Liu, Zhigang;  Luo, Xin;  Wang, Zidong;  Liu, Xiaohui 收藏  |  浏览/下载：103/0  |  提交时间：2022/12/26 Undirected Network  Social Network  Information Fusion  Network Representation Learning  Community Detection  Nonnegative Matrix Factorization  Symmetry -regularization  Multiple Constraints
	Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 5, 页码: 3006-3017 作者:  Song, Yan;  Li, Ming;  Luo, Xin;  Yang, Guisong;  Wang, Chongjing 收藏  |  浏览/下载：126/0  |  提交时间：2020/08/24 Computational modeling  Sparse matrices  Biological system modeling  Symmetric matrices  Matrix decomposition  Linear programming  Convergence  Big data  data analysis  latent factor  nonnegativity  sparse and large-scaled network  symmetry  triple-factorization  undirected
	Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107 作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng Adobe PDF(803Kb)  |  收藏  |  浏览/下载：439/0  |  提交时间：2018/03/05 Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network