The intermediate representation method for Graph Neural Networks (GNNs) converts neural network output into Prolog facts and rules suitable for Inductive Logic Programming (ILP) processing, effectively bridging neural network features and symbolic logic.

Authors

• Person: Not available Organization: arXiv
  Neuro-Symbolic AI: Explainability, Challenges, and Future Trends

Sources

• Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv via serper

Referenced by nodes (2)

• graph neural networks concept
• Inductive Logic Programming (ILP) concept