THUMNLab/awesome-large-graph-model
Papers about large graph models.
This resource helps researchers and practitioners explore advancements in applying large language models to graph-structured data. It provides a curated list of academic papers covering various techniques and applications, serving as a comprehensive bibliography for those working with large graph models. Anyone involved in graph machine learning or interested in the intersection of large language models and graph data would find this useful.
291 stars. No commits in the last 6 months.
Use this if you need to find relevant research papers and surveys on large graph models, especially those combining graph machine learning with large language models.
Not ideal if you are looking for ready-to-use software, code implementations, or a tutorial for building large graph models.
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291
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20
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MIT
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Last pushed
Mar 24, 2024
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