Growing Better Graphs With Latent-Variable Probabilistic Graph Grammars.
Xinyi WangSalvador AguiñagaTim WeningerDavid ChiangPublished in: CoRR (2018)
Keyphrases
- latent variables
- graph grammars
- probabilistic model
- latent variable models
- context sensitive
- graph databases
- posterior distribution
- generative model
- graphical models
- gaussian process
- probabilistic principal component analysis
- prior knowledge
- latent space
- random variables
- topic models
- parameter learning
- graph mining
- approximate inference
- context free
- hidden variables
- expectation maximization
- language model
- bayesian networks
- bayesian inference
- text mining
- pairwise
- hidden markov models
- artificial intelligence
- supervised learning
- weighted graph
- conditional random fields
- parameter estimation