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Specformer

Code of Specformer: Spectral Graph Neural Networks Meet Transformers

How to run

  • For node-level task, e.g., signal regression and node classification, you should first run preprocess_node_data.py to generate .pt files for each dataset.
  • For graph-level taks, you can direcly run dgl_main.py.

Q&A

Any suggestion/question is welcome.

Reference

If you make advantage of Specformer in your research, please cite the following in your manuscript:

@inproceedings{specformer2023,
author={Deyu Bo and Chuan Shi and
Lele Wang and
Renjie Liao},
title={Specformer: Spectral Graph Neural Networks Meet Transformers},
booktitle = {{ICLR}},
publisher = {OpenReview.net},
year = {2023}
}

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Transformer-based Spectral Graph Neural Networks

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