Bayesian Graph Neural Networks with Adaptive Connection Sampling.
Arman HasanzadehEhsan HajiramezanaliShahin BolukiMingyuan ZhouNick DuffieldKrishna NarayananXiaoning QianPublished in: CoRR (2020)
Keyphrases
- neural network
- adaptive sampling
- monte carlo
- artificial neural networks
- graph model
- data driven
- random sampling
- graph structure
- pattern recognition
- random walk
- directed graph
- sequential monte carlo
- learning capabilities
- weighted graph
- graph theory
- neural network model
- connected components
- fault diagnosis
- sample size
- structured data
- bayesian networks
- genetic algorithm
- self organizing maps
- neural nets
- maximum likelihood
- fuzzy systems
- directed acyclic graph
- graphical models
- graph partitioning
- bayesian learning
- fuzzy logic
- graph based algorithm