What is it about?
GammaGL provides support for the implementation of Graph Neural Networks. Users can run the same code on the four deep-learning backends with a single line of code change. We also provide experiments to show the efficiency of our library.
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Why is it important?
We support multiple deep-learning frameworks. Users may prefer a certain framework for its unique feature. However, switching different backends requires many lines of code modification. In GammaGL, users can enjoy any of the four frameworks with only a single line of code change. Our experiments also prove that our operators are efficient.
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This page is a summary of: GammaGL: A Multi-Backend Library for Graph Neural Networks, July 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3539618.3591891.
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