Discovering Causal Rules in Knowledge Graphs using Graph Embeddings.
Lucas SimonneNathalie PernelleFatiha SaïsRallou ThomopoulosPublished in: WI/IAT (2022)
Keyphrases
- graph theoretic
- graph theory
- graph representation
- logical rules
- graph structure
- graph mining
- graph model
- weighted graph
- directed graph
- graph clustering
- graph databases
- graph matching
- production rules
- background knowledge
- graph search
- adjacency matrix
- subgraph isomorphism
- graph construction
- knowledge base
- graph theoretical
- domain experts
- directed acyclic graph
- graph partitioning
- series parallel
- random graphs
- graph properties
- graph classification
- minimum spanning tree
- spanning tree
- random walk
- knowledge acquisition
- low dimensional
- graph isomorphism
- causal links
- connected graphs
- labeled graphs
- causal relationships
- attributed graphs
- graph structures
- data mining techniques
- knowledge discovery
- expert systems
- bayesian networks