GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks.
Wentao ZhaoQitian WuChenxiao YangJunchi YanPublished in: CoRR (2023)
Keyphrases
- structure learning
- neural network
- bayesian networks
- graphical models
- bayesian network structure learning
- conditional independence
- parameter learning
- graph structure
- bayesian network classifiers
- parameter estimation
- graph theoretic
- markov logic networks
- graph theory
- markov networks
- directed graph
- network structure
- transfer learning
- random walk
- sample size
- probabilistic model
- directed acyclic graph
- fuzzy logic
- maximum likelihood estimation
- undirected graph
- higher order
- structure learning algorithm
- image segmentation