Molecular Property Prediction Based on Graph Structure Learning.
Bangyi ZhaoWeixia XuJihong GuanShuigeng ZhouPublished in: CoRR (2023)
Keyphrases
- structure learning
- graphical models
- bayesian networks
- bayesian network structure learning
- conditional independence
- parameter learning
- transfer learning
- markov logic networks
- parameter estimation
- random walk
- markov blanket
- directed acyclic graph
- sample size
- prediction model
- graph theory
- random variables
- network structure
- worst case
- graph theoretic
- pairwise
- markov networks
- probabilistic model
- machine learning algorithms
- supervised learning
- training data