Community Detection Based On Graph Neural Network
- Resource Type
- Conference
- Authors
- Wang, P; Kong, B; Bao, C.M; Zhou, L.H; Wang, C.Y
- Source
- 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) Intelligent Computing and Signal Processing (ICSP), 2021 6th International Conference on. :89-93 Apr, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Deep learning
Symmetric matrices
Convolution
Image edge detection
Complex networks
Heterogeneous networks
Graph neural networks
heterogeneous
meta-path
graph convolution
- Language
Community detection has always been an important and challenging task in the analysis of complex networks. In real life, many networks are heterogeneous which contain different types of nodes and edges. In the past few years, people have become more and more interested in the extension of deep learning techniques on heterogeneous network community detection.