Methods for combining knowledge graphs and large language models are classified into three categories: KGs empowered by LLMs (adding interpretability, semantic understanding, and entity embeddings), LLMs empowered by KGs (forecasting with KG data, injecting implicit knowledge, and KG construction), and Hybrid Approaches (unified combination).

Authors

• Person: Not available Organization: arXiv
  Combining Knowledge Graphs and Large Language Models - arXiv

Sources

• Combining Knowledge Graphs and Large Language Models - arXiv arxiv.org arXiv via serper

Referenced by nodes (3)

• Large Language Models concept
• knowledge graphs concept
• hybrid fusion approaches concept