Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.
Rongzhe WeiHaoteng YinJunteng JiaAustin R. BensonPan LiPublished in: CoRR (2022)
Keyphrases
- bayesian inference
- neural network
- prior information
- probabilistic model
- hyperparameters
- bayesian model
- statistical inference
- back propagation
- variational inference
- gibbs sampler
- markov chain monte carlo
- variational bayes
- hierarchical bayesian
- hidden variables
- weighted model counting
- expectation propagation
- particle filter
- probabilistic modeling
- generative model
- least squares
- pairwise