Awesome-LLM-KG

Why we included this project

This reading list tracks the intersection of large language models and knowledge graphs, with papers grouped by the direction of the combination rather than dumped into one flat pile. That structure makes it easy to find work relevant to a specific problem, whether you are trying to get an LLM to reason over structured facts or looking for ways to improve knowledge graph construction. The maintainers also include their own published work on graph-constrained reasoning and graph foundation models, which gives the collection a coherent editorial point of view instead of just aggregating links. For anyone scoping a project that needs an LLM to work with structured knowledge, it is a practical way to survey the methods and see which techniques keep coming up before you dig into the primary sources.