A Generative Model for Exploring Structure Regularities in Attributed Networks.
Zhenhai ChangCaiyan JiaXianjun YinYimei ZhengPublished in: CoRR (2019)
Keyphrases
- generative model
- probabilistic model
- hidden variables
- mixture model
- bayesian framework
- network structure
- em algorithm
- prior knowledge
- posterior probability
- conditional random fields
- pitman yor process
- visual patterns
- latent dirichlet allocation
- topic models
- decision trees
- discriminative models
- missing data
- feature space
- markov chain monte carlo
- clustering algorithm
- learned models
- discriminative learning
- image processing