Homophily-enhanced Structure Learning for Graph Clustering.
Ming GuGaoming YangSheng ZhouNing MaJiawei ChenQiaoyu TanMeihan LiuJiajun BuPublished in: CoRR (2023)
Keyphrases
- structure learning
- graph clustering
- bayesian networks
- graphical models
- network analysis
- network structure
- conditional independence
- bipartite graph
- clustering method
- link prediction
- community detection
- parameter estimation
- transfer learning
- social networks
- dynamic bayesian networks
- weighted graph
- markov networks
- clustering algorithm
- sample size
- random variables
- spectral clustering
- natural language processing
- graph partitioning
- probabilistic model
- complex networks
- probability distribution