Self-supervised graph autoencoder with redundancy reduction for community detection.
Xiaofeng WangGuodong ShenZengjie ZhangShuaiming LaiShuailei ZhuYuntao ChenDaying QuanPublished in: Neurocomputing (2024)
Keyphrases
- community detection
- redundancy reduction
- graph clustering
- graph mining
- label propagation
- label propagation algorithm
- massive graphs
- complex networks
- overlapping communities
- social networks
- link analysis
- real world graphs
- community structure
- network analysis
- link prediction
- hyper graph
- information propagation
- face recognition
- social graph
- graph theory
- biological networks
- community formation
- citation networks
- information diffusion
- graph databases
- real world social networks
- random walk
- community discovery
- bipartite networks
- densely connected
- real world networks
- semi supervised learning
- semi supervised
- community detection algorithms
- social network analysis
- connected components
- directed graph
- information networks
- graph structure
- weighted graph
- web graph