Expanding the Graph Convolutional Networks (PyTorch Version)

Expanded Graph Convolutional Networks (GCNs) [1] for deep learning on graphs implemented in PyTorch. (PyTorch implementation)

An expanded version of GCNs original work by Kipf & Welling [2]

The repository includes the datasets for Cora, Pubmed and Citeseer citation networks.

References

[1] Hashemi & Makse, Visiting Distant Neighbors in Graph Convolutional Networks, 2023

[2] Kipf & Welling, Semi-Supervised Classification with Graph Convolutional Networks, 2016

Cite

If you are using this code or method in your own work, please cite our paper as:

@misc{https://doi.org/10.48550/arxiv.2301.10960,
  doi = {10.48550/ARXIV.2301.10960},
  url = {https://arxiv.org/abs/2301.10960},
  author = {Hashemi, Alireza and Makse, Hernan},
  title = {Visiting Distant Neighbors in Graph Convolutional Networks},
  journal = {arXiv preprint arXiv:2301.10960},
  year = {2023},
  copyright = {arXiv.org perpetual, non-exclusive license}
}