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This repository provides data splits for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).

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Forward Learning of Graph Neural Networks

This repository provides the datasplits used in the paper "Forward Learning of Graph Neural Networks", Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan Rossi, Puja Trivedi, Nesreen Ahmed, The Twelfth International Conference on Learning Representations (ICLR) 2024.

Data Splits

The datasplits folder contains the node splits and edge splits of the five graph datasets used for the node classification and link prediction experiments in the paper, respectively.

Code of ForwardGNN

The code of the ForwardGNN framework is available at this repository.

Citation

If you use data in this repository, or the code of the ForwardGNN framework in your own work, please cite our paper.

@inproceedings{park2024forwardgnn,
  title={Forward Learning of Graph Neural Networks},
  author={Namyong Park and Xing Wang and Antoine Simoulin and Shuai Yang and Grey Yang and Ryan Rossi and Puja Trivedi and Nesreen Ahmed},
  booktitle={ICLR},
  year={2024},
}

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This repository provides data splits for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).

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