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Benchmarking Graph Neural Networks

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Updates

May 10, 2022

Oct 7, 2020

Jun 11, 2020

Mar 3, 2020

<br> <img src="./docs/gnns.jpg" align="right" width="350"/>

1. Benchmark installation

Follow these instructions to install the benchmark and setup the environment.

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2. Download datasets

Proceed as follows to download the benchmark datasets.

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3. Reproducibility

Use this page to run the codes and reproduce the published results.

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4. Adding a new dataset

Instructions to add a dataset to the benchmark.

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5. Adding a Message-passing GCN

Step-by-step directions to add a MP-GCN to the benchmark.

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6. Adding a Weisfeiler-Lehman GNN

Step-by-step directions to add a WL-GNN to the benchmark.

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7. Leaderboards

Full leaderboards coming soon on paperswithcode.com.

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8. Reference

ArXiv's paper

@article{dwivedi2020benchmarkgnns,
  title={Benchmarking Graph Neural Networks},
  author={Dwivedi, Vijay Prakash and Joshi, Chaitanya K and Luu, Anh Tuan and Laurent, Thomas and Bengio, Yoshua and Bresson, Xavier},
  journal={arXiv preprint arXiv:2003.00982},
  year={2020}
}

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