Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings.
Yuqicheng ZhuNico PotykaBo XiongTrung-Kien TranMojtaba NayyeriEvgeny KharlamovSteffen StaabPublished in: CoRR (2024)
Keyphrases
- probabilistic inference
- graphical models
- clique tree
- bayesian networks
- approximate inference
- weighted model counting
- influence diagrams
- message passing
- domain knowledge
- context specific independence
- conditional probabilities
- belief networks
- description logics
- knowledge base
- knowledge representation
- variable elimination
- prior knowledge
- probabilistic model
- probabilistic reasoning
- bayesian belief networks
- markov random field
- junction tree
- elimination algorithm