Multiview Temporal Graph Clustering

• Published in: IEEE transaction on neural networks and learning systems Vol. PP; pp. 1 - 14
• Main Authors: Liu, Meng, Liang, Ke, Yu, Hao, Meng, Lingyuan, Wang, Siwei, Zhou, Sihang, Liu, Xinwang
• Format: Journal Article
• Language: English
• Published: United States IEEE 15.07.2025
• Subjects: Clustering methods; Data models; Focusing; Graph learning; Heavily-tailed distribution; Learning systems; Matrix decomposition; multiview clustering (MVC); Noise measurement; Reliability; Sparse matrices; temporal graph clustering (TGC); Training

As an emerging task, temporal graph clustering (TGC) is committed to clustering nodes on temporal graphs through interaction sequence-based batch-processing patterns. These patterns allow for more flexibility in finding a balance between time and space requirements than adjacency matrix-based static...