Awesome-Language-Model-on-Graphs and awesome-large-graph-model
These two tools are competitors, as both aim to provide a curated list of papers and resources related to large language models on graphs, making users choose one over the other for similar content.
About Awesome-Language-Model-on-Graphs
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.
About awesome-large-graph-model
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.
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