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This repo contains Cora, Citeseer and Pubmed datasets under the path dataset/citation/. The other datasets used in the paper (including AMiner-CS, Reddit, Amazon2M and MAG-Scholar-C) can be downloaded from Google Drive or Tsinghua Cloud. To run model on these datasets, you should download the corresponding zip file, uncompress it and put it under dataset/.
You can directly download the zip file of each dataset with the following scripts:
sh scripts/run_<dataset>.sh <runs> <cuda_id> <propagation matrix [ppr, avg, single]>
Example:
Running model on Pubmed for 10 runs with personalized pagerank matrix:
sh scripts/run_pubmed.sh 10 <cuda_id> ppr
Cite
If you find this work is helpful to your research, please consider citing our paper:
@inproceedings{feng2022grand+,
title={GRAND+: Scalable Graph Random Neural Networks},
author={Feng, Wenzheng and Dong, Yuxiao and Huang, Tinglin and Yin, Ziqi and Cheng, Xu and Kharlamov, Evgeny and Tang, Jie},
booktitle={Proceedings of the ACM Web Conference 2022 (WWW’22)},
year={2022}
}
About
Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
