DGSLN: Differentiable graph structure learning neural network for robust graph representations.
Xiaofeng ZouKenli LiCen ChenXulei YangWei WeiKeqin LiPublished in: Inf. Sci. (2023)
Keyphrases
- graph representations
- structure learning
- neural network
- graph structure
- graphical models
- graph representation
- bayesian networks
- graph theory
- conditional independence
- parameter estimation
- graph kernels
- belief propagation
- weighted graph
- graph model
- probabilistic model
- random variables
- sample size
- network structure
- model selection
- supervised learning