Bayesian Graph Convolutional Neural Networks via Tempered MCMC.
Rohitash ChandraAyush BhagatManavendra MaharanaPavel N. KrivitskyPublished in: IEEE Access (2021)
Keyphrases
- convolutional neural networks
- posterior distribution
- markov chain monte carlo
- posterior probability
- bayesian inference
- convolutional network
- bayesian networks
- graph representation
- monte carlo
- graph theory
- directed acyclic graph
- directed graph
- random walk
- bipartite graph
- graph structure
- bayesian learning
- graph model
- connected components
- bayesian model
- weighted graph
- markov chain
- latent variables
- prior information
- approximate inference
- graph mining
- probability distribution
- gaussian processes
- undirected graph
- multiresolution
- face recognition