Unsupervised learning for community detection in attributed networks based on graph convolutional network.
Xiaofeng WangJianhua LiLi YangHongmei MiPublished in: Neurocomputing (2021)
Keyphrases
- community detection
- unsupervised learning
- graph clustering
- complex networks
- graph mining
- overlapping communities
- label propagation
- real world graphs
- community structure
- network analysis
- social networks
- massive graphs
- label propagation algorithm
- real world networks
- real world social networks
- citation networks
- community discovery
- convolutional network
- graph theory
- link prediction
- bipartite networks
- densely connected
- biological networks
- convolutional neural networks
- information networks
- supervised learning
- hyper graph
- community detection algorithms
- random walk
- network structure
- social graph
- graph databases
- information diffusion
- semi supervised
- small world
- semi supervised learning
- bipartite graph
- social network analysis
- expectation maximization
- graph structure
- object recognition
- clustering coefficient
- multiresolution
- computer vision