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This repository includes the source code and appendix of "Spiking Graph Convolutional Networks" which will be published in IJCAI 2022.

🗻 Install:

require: python 3.6+, pytorch and some common packages.

conda create -n py36 python=3.6
conda activate py36
pip install graphgallery==0.7.2 pandas
pip install spikingjelly==0.0.0.0.4
pip install thop scikit-learn
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🏝️ Run

cd path_to_spikingGCN/handcode/
python run_snn.py

Also you can run the SpikingGCN.ipynb notebook.

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cd gnn_models/
python run_sgc.py
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cd active_snn/

and test the al_snn.ipynb.

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cd mnist_snn/

and test superpixel_MNIST.ipynb or MNIST.ipynb.

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😘 Acknowledgement

This project is motivated by GraphGallery, spikingjelly and LISNN, etc., and the original implementations of the authors, thanks for their excellent works!