Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks.
Di JinZiyang LiuWeihao LiDongxiao HeWeixiong ZhangPublished in: AAAI (2019)
Keyphrases
- community detection
- complex networks
- markov random field
- community structure
- network analysis
- social networks
- overlapping communities
- label propagation
- label propagation algorithm
- real world networks
- community discovery
- semi supervised
- citation networks
- graph clustering
- biological networks
- community detection algorithms
- graph theory
- graph mining
- parameter estimation
- higher order
- real world social networks
- pairwise
- graph cuts
- information networks
- energy function
- massive graphs
- real world graphs
- bipartite networks
- maximum a posteriori
- network structure
- random walk
- image segmentation
- graph partitioning
- heterogeneous networks
- information retrieval
- unlabeled data
- semi supervised learning
- computer vision
- link prediction
- connected components
- belief propagation
- conditional random fields
- social network analysis