HKUDS/Awesome-LLM4Graph-Papers

[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"

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This resource provides a curated collection of research papers and materials exploring the integration of Large Language Models (LLMs) with graph learning techniques. It helps researchers, data scientists, and machine learning engineers understand how LLMs can enhance tasks like link prediction or node classification when working with graph-structured data. The collection takes academic papers and categorizes them by different integration approaches, helping users find relevant research.

366 stars. No commits in the last 6 months.

Use this if you are a researcher or practitioner interested in leveraging the power of Large Language Models to improve analysis and tasks on complex graph datasets.

Not ideal if you are looking for an off-the-shelf software tool or a tutorial for beginners in graph theory or machine learning.

graph-analysis machine-learning-research natural-language-processing data-science academic-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 11 / 25

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Last pushed

Mar 15, 2025

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