/GPPool

Primary LanguagePython

GPPool

The source code of Training Large-Scale Graph Neural Networks Via Graph Partial Pooling

Training

To reproduce the results of GPPool on the Cora dataset, please run the following commands.

Conda activate your_conda_env_name
python test.py 

If you need to apply GPPool to other datasets, modify the dataset section in test.py and use the hyperparameters suggested in the paper for training.

Citing

Please cite our work if you find it is useful for you:

@article{TrainingLargeScaleGraph,
  title = {Training Large-Scale Graph Neural Networks Via Graph Partial Pooling},
  author = {Zhang, Qi and Sun, Yanfeng and Wang, Shaofan and Gao, Junbin and Hu, Yongli and Yin, Baocai},
  year = {2024},
  journal = {IEEE Transactions on Big Data},
  annotation = {Early Access, DOI: 10.1109/TBDATA.2024.3403380}
}