Towards Unsupervised Deep Graph Structure Learning.
Yixin LiuYu ZhengDaokun ZhangHongxu ChenHao PengShirui PanPublished in: WWW (2022)
Keyphrases
- structure learning
- graphical models
- bayesian networks
- conditional independence
- bayesian network structure learning
- parameter learning
- markov logic networks
- graph structure
- transfer learning
- directed acyclic graph
- graph theoretic
- parameter estimation
- random walk
- markov networks
- network structure
- graph theory
- unsupervised learning
- machine learning
- supervised learning
- least squares
- data mining
- directed graph
- belief propagation
- markov random field
- equivalence classes