Hi, this is the code base for GraphPatcher submitted to NeurIPS 2023. We sincerely appreciate your efforts reviewing our paper. 

For any question, please do not hesitate to contact us on OpenReview. We are always happy to address any question or concern.
# Instruction

To reproduce our experiment, you need to first run the bash script that trains GNNs in a regular semi-superivsed setting. For instance,  the following command trains a gcn for cora.
```
cd GraphPatcher
bash bash_script/cora_gcn.sh
```

With the trained model, you can train GraphPatcher by running:
```
bash bash_script/cora.sh 0
```
where 0 stands for the GPU id. The bash scripts for all datasets are included and please feel free to try them out. 

