Inference in Probabilistic Graphical Models by Graph Neural Networks.
KiJung YoonRenjie LiaoYuwen XiongLisa ZhangEthan FetayaRaquel UrtasunRichard S. ZemelXaq PitkowPublished in: ACSSC (2019)
Keyphrases
- probabilistic graphical models
- neural network
- exact inference
- markov logic
- graphical models
- probabilistic inference
- parameter learning
- markov logic networks
- markov networks
- approximate inference
- first order logic
- belief networks
- belief propagation
- bayesian networks
- structured prediction
- latent variables
- artificial neural networks
- pattern recognition
- back propagation
- random variables
- conditional random fields
- genetic algorithm
- statistical learning
- soft computing
- probabilistic model
- efficient learning
- bayesian inference
- fuzzy sets