Graph Neural Network Causal Explanation via Neural Causal Models.
Arman BehnamBinghui WangPublished in: CoRR (2024)
Keyphrases
- causal models
- neural network
- causal explanation
- directed acyclic graph
- network architecture
- causal graph
- causal relationships
- causal discovery
- causal knowledge
- causal reasoning
- conditional independence
- neural model
- neural fuzzy
- causal relations
- structural model
- causal structure
- associative memory
- neural architecture
- directed graph
- causal inference
- tractable cases
- neural computation
- graph theory
- back propagation
- neural network model
- weighted graph
- markov property
- feed forward
- structural equation models
- neuron model
- learning rules
- random variables
- random walk