This repository serves as a curated, community-driven list of academic papers exploring the intersection of Knowledge Graphs (KGs) and Large Language Models (LLMs). It aims to catalog research that investigates how KGs can enhance LLMs or how LLMs can be leveraged for KG construction and reasoning, targeting researchers and practitioners in AI, NLP, and data science. The primary benefit is a centralized, up-to-date resource for staying abreast of this rapidly evolving field.

How It Works

The repository functions as a living bibliography, collecting and categorizing papers based on their contribution to KG-LLM integration. It organizes research into sections like "Papers," "Surveys," "Methods," and "Resources," facilitating discovery and understanding of different approaches. The community actively contributes new findings and updates via pull requests, ensuring comprehensive coverage.

Quick Start & Requirements

This repository is a paper list and does not have direct installation or execution requirements. It provides links to research papers and associated code repositories where available.

Highlighted Details

• Comprehensive catalog of over 300 papers published from 2023 onwards.
• Categorization of research into papers, surveys, methods, and resources.
• Includes links to associated code repositories for many listed papers.
• Regularly updated with recent publications and ongoing research trends.

Maintenance & Community

The repository is maintained by the zjukg group, with active community contributions welcomed via pull requests for adding or updating paper entries.

Licensing & Compatibility

The repository itself does not host code or data that would typically have licensing restrictions. It is a collection of links to external academic work.

Limitations & Caveats

The quality and completeness of information for each paper depend on community contributions. While extensive, the list may not be exhaustive of all KG-LLM research.