benchmarking-gnns
Repository for benchmarking graph neural networks (JMLR 2023)
Evaluate the performance of different graph neural networks with provided datasets and benchmarks.
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benchmarking-gnns has 2.7k stars on GitHub. It has been forked 459 times. benchmarking-gnns is written mainly in Jupyter Notebook. It has been in active development since 2020. benchmarking-gnns is available under the MIT license. Its main topics are benchmark-framework, deep-learning, dgl, graph-deep-learning.
What is benchmarking-gnns?
Repository for benchmarking graph neural networks (JMLR 2023)
Is benchmarking-gnns open source?
benchmarking-gnns is an open-source project. It is released under the MIT license.
Is benchmarking-gnns free?
Yes. benchmarking-gnns is free and open source — you can use, modify and self-host it.
What license does benchmarking-gnns use?
benchmarking-gnns is available under the MIT license.
What language is benchmarking-gnns written in?
benchmarking-gnns is written mainly in Jupyter Notebook.
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