QA-GNN (Yasunaga et al., 2021) utilizes Graph Neural Networks (GNNs) to reason over knowledge graphs while incorporating LLM-based semantic reasoning. The model uses relevance scoring to estimate the importance of knowledge graph nodes concerning a given question and applies GNN reasoning to integrate those nodes into the LLM's answer generation.

Authors

• Person: Not available Organization: Frontiers
  Practices, opportunities and challenges in the fusion of knowledge ...

Sources

• Practices, opportunities and challenges in the fusion of knowledge ... www.frontiersin.org Frontiers via serper

Referenced by nodes (2)

• knowledge graphs concept
• graph neural networks concept