Neural Gaussian Similarity Modeling for Differential Graph Structure Learning.
Xiaolong FanMaoguo GongYue WuZedong TangJieyi LiuPublished in: CoRR (2023)
Keyphrases
- structure learning
- bayesian networks
- dynamic bayesian networks
- graphical models
- parameter estimation
- conditional independence
- transfer learning
- bayesian network structure learning
- similarity measure
- graph theoretic
- neural network
- parameter learning
- graph theory
- sample size
- network structure
- graph structure
- random walk
- maximum likelihood
- probabilistic model
- random variables
- markov networks
- optical flow
- markov logic networks
- directed graph
- directed acyclic graph
- high dimensional
- equivalence classes
- data mining