Self-attention empowered graph convolutional network for structure learning and node embedding.
Mengying JiangGuizhong LiuYuanchao SuXinliang WuPublished in: Pattern Recognit. (2024)
Keyphrases
- structure learning
- graph structure
- graphical models
- bayesian networks
- directed graph
- convolutional network
- conditional independence
- convolutional neural networks
- undirected graph
- parameter estimation
- markov logic networks
- directed acyclic graph
- markov networks
- belief propagation
- transfer learning
- random variables
- random walk
- network structure
- sample size
- probabilistic model
- coarse to fine
- graph theoretic
- maximum likelihood estimation
- maximum likelihood
- least squares
- dynamic programming
- object recognition