Generalized Reasoning With Graph Neural Networks by Relational Bayesian Network Encodings.
Raffaele PojerAndrea PasseriniManfred JaegerPublished in: LoG (2023)
Keyphrases
- neural network
- bayesian networks
- structural learning
- probabilistic reasoning
- diagnostic reasoning
- graphical representation
- relational databases
- pattern recognition
- uncertain knowledge
- clique tree
- genetic algorithm
- learning bayesian networks
- directed acyclic graph
- relational data
- knowledge base
- data model
- knowledge representation
- graph matching
- inference in bayesian networks
- relational structures
- junction tree
- random walk
- graph theoretic
- structured data
- graph model
- probabilistic inference
- bipartite graph
- graph theory
- graph structure
- bayesian network inference
- graph mining
- chain graphs
- fuzzy logic
- incomplete data
- influence diagrams
- causal relationships
- reasoning systems
- graphical models
- relational models
- reasoning process
- random variables
- relational learning
- directed graph
- hidden variables