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Benchmarking Graph Neural Networks

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Xavier Bresson: New paper on benchmarking graph neural networks w/ @vijaypradwi @chaitjo T. Laurent and Y. Bengio https://arxiv.org/pdf/2003.00982.pdf Our goal was to identify trends and good building blocks for GNNs. https://t.co/PiFUYm5Z3R

7 replies, 480 likes


Yann LeCun: Graph neural net benchmarks with repo.

0 replies, 165 likes


Chaitanya Joshi: **Benchmarking Graph Neural Networks**! Fortunate to have been part of this effort, with @vijaypradwi, @xbresson, Thomas Laurent (LMU), & Yoshua Bengio (@MILAMontreal). PDF: https://arxiv.org/pdf/2003.00982.pdf Code: https://github.com/graphdeeplearning/benchmarking-gnns #GraphNeuralNetworks #DeepLearning https://t.co/5JdGjzTIU5

4 replies, 152 likes


Thomas Kipf: Exciting new work on benchmarks for graph neural nets

0 replies, 104 likes


DeepGraphLibrary: Awesome new benchmarks for GNNs by NTU Graph Deep Learning Lab!! Datasets from computer vision, bioinformatics to combinatorial optimization. A great test field for new models. Powered by DGL!

0 replies, 66 likes


Chaitanya Joshi: @huggingface @slashML Also, for those new to Graph Deep Learning/GNNs, you'll find our new paper useful for building intuitions. https://twitter.com/chaitjo/status/1234739917583814656?s=20

1 replies, 14 likes


Vijay Dwivedi: Paper on 'Benchmarking Graph Neural Networks' with @chaitjo, @xbresson, Thomas Laurent, and Yoshua Bengio released now.

1 replies, 9 likes


elvis: This is so cool! If you are into GNNs, here is the provided framework for benchmarking GNNs -- it's aimed at reproducibility. https://github.com/graphdeeplearning/benchmarking-gnns

0 replies, 5 likes


Content

Found on Mar 03 2020 at https://arxiv.org/pdf/2003.00982.pdf

PDF content of a computer science paper: Benchmarking Graph Neural Networks