Awesome-LLM-KG
Discover how Large Language Models (LLMs) and Knowledge Graphs (KGs) integrate to improve reasoning and knowledge access. This project aggregates important studies and resources that aim to bring together LLMs with KGs for more effective factual data utilization. LLMs perform well in diverse scenarios, yet they often miss the detailed factual knowledge that KGs provide. This resource presents methods to integrate LLMs and KGs, addressing challenges in knowledge retention and access. Core areas include KG-enhanced LLMs, LLM-augmented KGs, and combined approaches utilizing both technologies. Follow the latest in research developments, including graph-constrained and temporal KG reasoning, as recognized by conferences like NeurIPS and ACL.
