/benchmarking-gnns

Repository for benchmarking graph neural networks

Primary LanguageJupyter NotebookMIT LicenseMIT

Benchmarking Graph Neural Networks


1. Benchmark installation

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


2. Download datasets

Proceed as follows to download the benchmark datasets.


3. Reproducibility

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


4. Adding a new dataset

Instructions to add a dataset to the benchmark.


5. Adding a new graph neural network

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


6. Reference

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