XiaoxinHe/Awesome-Graph-LLM
A curated list of research papers and resources on graph-related large language models.

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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.