Relating Graph Neural Networks to Structural Causal Models.
Matej ZecevicDevendra Singh DhamiPetar VelickovicKristian KerstingPublished in: CoRR (2021)
Keyphrases
- causal models
- neural network
- directed acyclic graph
- structural model
- causal graph
- causal discovery
- causal relations
- conditional independence
- causal relationships
- pattern recognition
- causal structure
- causal inference
- causal reasoning
- random walk
- graph theory
- markov property
- directed graph
- graph representation
- back propagation
- fuzzy logic
- artificial neural networks
- genetic algorithm
- weighted graph
- structural information
- graph mining
- structural equation models
- tractable cases
- structural patterns
- graph structure
- neural network model
- content analysis
- experimental data
- diagnostic problem solving