A Graph Autoencoder Approach to Causal Structure Learning.
Ignavier NgShengyu ZhuZhitang ChenZhuangyan FangPublished in: CoRR (2019)
Keyphrases
- structure learning
- bayesian networks
- markov blanket
- graphical models
- conditional independence
- directed acyclic graph
- bayesian network classifiers
- bayesian network structure learning
- parameter learning
- transfer learning
- parameter estimation
- structural learning
- causal relationships
- probabilistic inference
- probabilistic reasoning
- random walk
- causal discovery
- causal graph
- markov logic networks
- markov networks
- causal models
- directed graph
- graph theoretic
- network structure
- maximum likelihood estimation
- posterior probability
- probabilistic model
- learning algorithm
- random variables
- markov random field
- knowledge representation