GNNs (Graph Neural Networks) are typically used for information extraction from unstructured text to build knowledge graphs, but they often struggle to generalize to out-of-distribution inputs. LLMs (Large Language Models) generalize better than GNNs and do not require specific training efforts, although they do not always achieve state-of-the-art results compared to GNNs.

Authors

• Person: Not available Organization: Stardog
  Enterprise AI Requires the Fusion of LLM and Knowledge Graph

Sources

• Enterprise AI Requires the Fusion of LLM and Knowledge Graph www.stardog.com Stardog via serper

Referenced by nodes (4)

• Large Language Models concept
• knowledge graphs concept
• information extraction concept
• unstructured text concept