GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks.
Wentao ZhaoQitian WuChenxiao YangJunchi YanPublished in: KDD (2023)
Keyphrases
- structure learning
- neural network
- graphical models
- bayesian networks
- graph structure
- conditional independence
- markov logic networks
- transfer learning
- bayesian network classifiers
- parameter estimation
- parameter learning
- bayesian network structure learning
- graph theory
- random variables
- directed acyclic graph
- markov networks
- graph theoretic
- random walk
- directed graph
- sample size
- undirected graph
- reinforcement learning
- belief propagation
- structure learning algorithm