PeterGriffinJin/Awesome-Language-Model-on-Graphs
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)
This resource provides a curated list of research papers and materials focusing on the integration of large language models (LLMs) with graph-structured data. It helps researchers and practitioners explore how LLMs, typically designed for text, can be applied to real-world scenarios involving networks like social graphs, academic citations, or e-commerce connections, as well as text-rich graphs like molecules with descriptions. The output is a comprehensive overview of current methods, datasets, and reasoning approaches for this emerging field.
981 stars. No commits in the last 6 months.
Use this if you are a researcher or data scientist looking for a comprehensive overview of the latest advancements and methods in combining large language models with graph data for tasks like reasoning or prediction.
Not ideal if you are looking for an off-the-shelf software tool or code to directly implement an LLM on graphs, as this is a list of research papers and not an executable project.
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Mar 02, 2025
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