8 citations · 10 across the 12 of their papers we have counts for
5 papers · 1 filter
Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks
Yurong Zhong, Zhe Xie, Weiling Li +1
An Undirected Weighted Network (UWN) is frequently encountered in a big-data-related application concerning the complex interactions among numerous nodes, e.g., a protein interacti…
Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks
Yurong Zhong, Zhe Xie, Weiling Li +1
An Undirected Weighted Network (UWN) is commonly found in big data-related applications. Note that such a network's information connected with its nodes, and edges can be expressed…
Online Sparse Streaming Feature Selection Using Adapted Classification
RuiYang Xu, Di Wu, Xin Luo
Traditional feature selections need to know the feature space before learning, and online streaming feature selection (OSFS) is proposed to process streaming features on the fly. E…
A Symmetry and Graph Regularized Nonnegative Matrix Factorization Model for Community Detection
Zhigang Liu, Xin Luo
Community is a fundamental and critical characteristic of a Large-scale Undirected Network (LUN) like a social network, making community detection a vital yet thorny issue in LUN r…
A Constraints Fusion-induced Symmetric Nonnegative Matrix Factorization Approach for Community Detection
Zhigang Liu, Xin Luo
Community is a fundamental and critical characteristic of an undirected social network, making community detection be a vital yet thorny issue in network representation learning. A…