Incorporating Network Embedding into Markov Random Field for Better Community Detection.
Di JinXinxin YouWeihao LiDongxiao HePeng CuiFrançoise Fogelman-SouliéTanmoy ChakrabortyPublished in: AAAI (2019)
Keyphrases
- markov random field
- community detection
- complex networks
- community structure
- real world networks
- community detection algorithms
- link prediction
- graph cuts
- network analysis
- belief propagation
- overlapping communities
- mrf model
- network structure
- higher order
- information networks
- random fields
- bipartite networks
- social networks
- maximum a posteriori
- parameter estimation
- pairwise
- image segmentation
- conditional random fields
- citation networks
- energy function
- networked data
- social network analysis
- heterogeneous networks
- graph mining
- community discovery
- potential functions
- prior model
- mrf optimization
- multiple types
- graph theory
- supervised learning