This repository is the implementation of GTN.
Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim, Graph Transformer Networks, In Advances in Neural Information Processing Systems (NeurIPS), 2019.
$ mkdir data
$ cd data
Download datasets (DBLP, ACM, IMDB) from this link and extract data.zip into data folder.
$ cd ..
- DBLP
$ python main.py --dataset DBLP --num_layers 3
- ACM
$ python main.py --dataset ACM --num_layers 2 --adaptive_lr true
- IMDB
$ python main_sparse.py --dataset IMDB --num_layers 3 --adaptive_lr true
If this work is useful for your research, please cite our paper:
@inproceedings{yun2019graph,
title={Graph Transformer Networks},
author={Yun, Seongjun and Jeong, Minbyul and Kim, Raehyun and Kang, Jaewoo and Kim, Hyunwoo J},
booktitle={Advances in Neural Information Processing Systems},
pages={11960--11970},
year={2019}
}