XiaoxinHe/Awesome-Graph-LLM
A curated list of research papers and resources on graph-related large language models.
Not currently ranked — collecting fresh signals.
star history
This repository aggregates academic papers, datasets, benchmarks, and tools exploring how LLMs interact with graph-structured data. It covers prompting techniques, knowledge graphs, molecular graphs, GraphRAG, multi-agent planning, and graph robustness. The collection spans venues like NeurIPS, NAACL, and includes datasets, benchmarks, and survey papers alongside model-specific entries.
Frequently asked
- What is XiaoxinHe/Awesome-Graph-LLM?
- A curated list of research papers and resources on graph-related large language models.
- Is Awesome-Graph-LLM open source?
- Yes — XiaoxinHe/Awesome-Graph-LLM is open source, released under the MIT license.
- How popular is Awesome-Graph-LLM?
- XiaoxinHe/Awesome-Graph-LLM has 2.4k stars on GitHub.
- Where can I find Awesome-Graph-LLM?
- XiaoxinHe/Awesome-Graph-LLM is on GitHub at https://github.com/XiaoxinHe/Awesome-Graph-LLM.