Bayesian graph convolutional neural networks via tempered MCMC.
Rohitash ChandraAyush BhagatManavendra MaharanaPavel N. KrivitskyPublished in: CoRR (2021)
Keyphrases
- convolutional neural networks
- posterior distribution
- markov chain monte carlo
- bayesian inference
- random walk
- posterior probability
- markov chain
- monte carlo
- graph theory
- graph representation
- convolutional network
- bayesian networks
- graph model
- directed acyclic graph
- directed graph
- connected components
- weighted graph
- bayesian learning
- bipartite graph
- graph structure
- particle filtering
- structured data
- generative model
- graph matching
- prior information
- spanning tree
- graph theoretic
- probabilistic model
- multiresolution
- support vector