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Geometric Random Walk Graph Neural Networks via Implicit Layers

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Geometric Random Walk Graph Neural Networks via Implicit Layers

This repository is the official implementation of Geometric Random Walk Graph Neural Networks via Implicit Layers.

Requirements

Code is written in Python 3.9 and requires:

  • PyTorch 1.12
  • PyTorch Geometric 2.1

Datasets

The datasets are automatically downloaded when the user executes the script

Training and Evaluation

To train and evaluate the model, specify the dataset and the hyperparameters in the main.py file and then execute:

python main.py

Cite

Please cite our paper if you use this code:

@inproceedings{nikolentzos2023graph,
  title={Geometric Random Walk Graph Neural Networks via Implicit Layers},
  author={Nikolentzos, Giannis and Vazirgiannis, Michalis},
  booktitle={Proceedings of the 26th International Conference on Artificial Intelligence and Statistics},
  pages={2035--2053},
  year={2023}
}

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