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[KDD'23] Learning Strong Graph Neural Networks with Weak Information

License: MIT License

Shell 16.80% Python 83.20%

d2pt's Introduction

D2PT

This is the source code of KDD'23 paper "Learning Strong Graph Neural Networks with Weak Information".

The proposed framework

Requirements

This code requires the following:

  • Python==3.9
  • Pytorch==1.12.1
  • Pytorch Geometric==2.3.0

Usage

Just run the script corresponding to the dataset and method you want. For instance:

bash scripts/d2pt/cora.sh

Cite

If you compare with, build on, or use aspects of this work, please cite the following:

@inproceedings{
liu2023learning,
title={Learning Strong Graph Neural Networks with Weak Information},
author={Liu, Yixin and Ding, Kaize and Wang, Jianling and Lee, Vincent and Liu, Huan and Pan, Shirui},
booktitle={Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
year={2023}
}

d2pt's People

Contributors

yixinliu233 avatar

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