LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation.
Jiaxing ZhangJiayi LiuDongsheng LuoJennifer NevilleHua WeiPublished in: CoRR (2024)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- programming language
- markov networks
- particle filter
- variational bayes
- hierarchical bayesian
- variational inference
- weighted model counting
- prior distribution
- statistical inference
- natural language
- probabilistic modeling
- hidden variables
- bayesian models
- graph partitioning
- expectation propagation
- graphical models
- gibbs sampler