Modularity-aware graph autoencoders for joint community detection and link prediction.
Guillaume Salha-GalvanJohannes F. LutzeyerGeorge DasoulasRomain HennequinMichalis VazirgiannisPublished in: Neural Networks (2022)
Keyphrases
- community detection
- link prediction
- random walk
- graph mining
- bipartite graph
- graph clustering
- network analysis
- label propagation
- social networks
- label propagation algorithm
- complex networks
- social network analysis
- link formation
- massive graphs
- link analysis
- graph kernels
- graph theory
- biological networks
- community detection algorithms
- network structure
- citation networks
- overlapping communities
- social graph
- graph databases
- link structure
- graph model
- heterogeneous networks
- real world networks
- community discovery
- densely connected
- supervised learning
- social network data
- information networks
- collaborative filtering
- markov chain
- weighted graph
- graph structure
- bipartite networks
- data mining