Graph Neural Networks (GNNs) update vector representations of entities and relationships iteratively by using a message-passing mechanism where entities (represented as nodes) and relationships (represented as edges) exchange information to update their adjacency relationships.

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 (3)

• graph neural networks concept
• entities concept
• relationships concept