期刊论文

Zhang, Y

英文

Engineering Applications of Artificial Intelligence

0952-1976

2025

142

109914

10.1016/j.engappai.2024.109914

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

本校为其他机构

Graph clustering is a critical task in network analysis, aimed at grouping nodes based on their structural or attributed similarities. In particular, attributed graph clustering, which considers both structural links and node attributes, is essential for complex networks where additional node information is available. Nonnegative Matrix Factorization (NMF) has shown promise in graph clustering; however, it faces limitations when applied to attributed graph clustering, such as an inability to detect outliers, distortion of geometric data point structures, and disregard for attributed informatio...