Weakly-supervised learning for community detection based on graph convolution in attributed networks.
Xiaofeng WangJianhua LiLi YangHongmei MiJia Yuan YuPublished in: Int. J. Mach. Learn. Cybern. (2021)
Keyphrases
- community detection
- weakly supervised learning
- graph clustering
- complex networks
- graph mining
- overlapping communities
- label propagation
- community structure
- massive graphs
- real world graphs
- network analysis
- social networks
- citation networks
- community discovery
- real world social networks
- densely connected
- weakly supervised
- real world networks
- graph theory
- biological networks
- object detection
- bipartite networks
- community detection algorithms
- link prediction
- social network analysis
- network structure
- multiple instance learning
- random walk
- object class
- graph databases
- bipartite graph
- machine learning
- co occurrence
- multi view learning
- multi class
- feature space