Bayesian Graph Neural Networks with Adaptive Connection Sampling.
Arman HasanzadehEhsan HajiramezanaliShahin BolukiMingyuan ZhouNick DuffieldKrishna NarayananXiaoning QianPublished in: ICML (2020)
Keyphrases
- neural network
- graph representation
- data driven
- adaptive sampling
- pattern recognition
- artificial neural networks
- weighted graph
- neural nets
- sequential monte carlo
- graph theoretic
- random sampling
- bayesian inference
- directed graph
- bayesian networks
- neural network model
- genetic algorithm
- graph based algorithm
- bayesian learning
- markov chain monte carlo
- directed acyclic graph
- self organizing maps
- graph structure
- connected components
- fuzzy logic
- fuzzy systems
- fault diagnosis
- probabilistic model
- bipartite graph
- monte carlo
- learning algorithm