Self-supervised community detection in multiplex networks with graph convolutional autoencoder.
Xingyu LiuJunwei ChengHao ChengChaobo HeQimai ChenQuanlong GuanPublished in: CSCWD (2023)
Keyphrases
- community detection
- graph clustering
- overlapping communities
- graph mining
- label propagation
- complex networks
- community structure
- real world graphs
- massive graphs
- network analysis
- social networks
- label propagation algorithm
- real world networks
- citation networks
- community discovery
- link analysis
- real world social networks
- biological networks
- community detection algorithms
- bipartite networks
- graph theory
- link prediction
- information diffusion
- densely connected
- information propagation
- social graph
- network structure
- information networks
- bipartite graph
- random walk
- hyper graph
- small world
- community formation
- graph structure
- cohesive subgroups
- degree distribution
- clustering coefficient
- restricted boltzmann machine
- social network data
- scale free
- deep learning
- structured data
- graph databases
- graph model
- connected components
- social network analysis
- probabilistic model