BUAA-CI-LAB/Literatures-on-GNN-Acceleration
A reading list for deep graph learning acceleration.
This reading list helps researchers and engineers working with deep learning to find relevant papers and resources on speeding up Graph Neural Networks (GNNs). It compiles research on both software and hardware improvements, giving you categorized access to academic papers, tools, and learning materials. It's designed for those who are building or optimizing systems that use GNNs and need to improve their performance.
255 stars. No commits in the last 6 months.
Use this if you are researching methods to make your Graph Neural Networks run faster, whether through improved algorithms or specialized hardware.
Not ideal if you are looking for a plug-and-play software library or an introductory guide to what GNNs are.
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Jul 26, 2025
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