Neural Gaussian Similarity Modeling for Differential Graph Structure Learning.
Xiaolong FanMaoguo GongYue WuZedong TangJieyi LiuPublished in: AAAI (2024)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- dynamic bayesian networks
- conditional independence
- graph structure
- bayesian network structure learning
- transfer learning
- neural network
- random walk
- similarity measure
- maximum likelihood
- parameter learning
- markov logic networks
- parameter estimation
- directed acyclic graph
- sample size
- graph theory
- network structure
- text categorization
- supervised learning
- training set
- data mining