Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.
Rongzhe WeiHaoteng YinJunteng JiaAustin R. BensonPan LiPublished in: NeurIPS (2022)
Keyphrases
- bayesian inference
- neural network
- hyperparameters
- probabilistic model
- prior information
- variational bayes
- statistical inference
- variational inference
- particle filter
- bayesian model
- hidden variables
- artificial neural networks
- hierarchical bayesian
- probabilistic modeling
- pairwise
- expectation propagation
- competitive learning
- data sets
- decision trees
- generative model
- least squares
- gibbs sampler
- weighted model counting