When convolutional network meets temporal heterogeneous graphs: an effective community detection method

• Main Authors: Zheng, Yaping, Zhang, Xiaofeng, Chen, Shiyi, Zhang, Xinni, Yang, Xiaofei, Wang, Di
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Graph Convolutional Network; Heterogeneous Graph
• Online Access: https://hdl.handle.net/10356/172861
• Institution: Nanyang Technological University

Community detection has long been an important yet challenging task to analyze complex networks with a focus on detecting topological structures of graph data. Essentially, real-world graph data is generally heterogeneous which dynamically varies over time, and this invalidates most existing communi...