TL;DR: Knowledge Graphs and LLMs

Knowledge graphs provide structured representations of information that can enhance the reasoning capabilities of large language models. By explicitly modeling concepts and relationships, KGs offer a complementary approach to the statistical knowledge learned by LLMs, enabling more systematic and interpretable AI systems.

There are several key manners of having LLMs work with Knowledge Graphs

• Pushing to graph
• Getting information from graphs
• Predicting and classifying things about graph
• Navigating graphs and multi-hop reasoning