KG-LLM-Papers is a curated list of papers that integrate knowledge graphs with large language models, effectively serving as a compiled bibliography and resource hub.
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
What it is
KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). The project description states its purpose as exploring what LLMs can do for KGs and the role of KG in the era of LLMs.
How it works
The repo groups papers into sections like Surveys, Methods, and Resources and provides a paginated list of papers with links. The README shows a structured Contents section and a Papers listing with subcategories.
Getting started
From the README, users are encouraged to contribute by Pull Requests to add missing papers. There is no explicit installation or runtime setup described in the truncated README.
Recent releases
RELEASES (latest 0):
- none
Traction
Stars: 2221 Forks: 158 Open issues: 10 Created: 2023-06-12 Last push: 2026-03-02
Behind the repo
This repo references a Wiki and multiple linked papers and repos in its News section, indicating active curation and community involvement. The description and news entries include repo links for specific papers, e.g., OntoTune and K-ON.
Caveats
License: MIT. The README is truncated, showing a long list of papers and News updates, but no installation guidance. The latest releases are listed as none.