### Install SumGNN Project

Source: https://github.com/yueyu1030/sumgnn/blob/master/README.md

This snippet outlines the steps to clone the SumGNN repository and install its dependencies using pip. It's essential for setting up the project environment.

```bash
git clone git@github.com:yueyu1030/SumGNN.git
cd SumGNN
pip install -r requirements.txt
```

--------------------------------

### Run SumGNN Training Example

Source: https://github.com/yueyu1030/sumgnn/blob/master/README.md

This example demonstrates how to run the training script for SumGNN. It includes common command-line arguments for specifying the dataset, experiment name, GPU, hop size, batch size, embedding dimension, and basis size for the relation kernel.

```python
python train.py 
    -d drugbank         # task
    -e ddi_hop3         # the name for the log for experiments
    --gpu=0             # ID of GPU
    --hop=3             # size of the hops for subgraph
    --batch=256         # batch size for samples
    --emb_dim=32        # size of embedding for GNN layers
    -b=10               # size of basis for relation kernel
```

--------------------------------

### Cite SumGNN Paper

Source: https://github.com/yueyu1030/sumgnn/blob/master/README.md

This is a BibTeX entry for citing the SumGNN paper. It includes the title, authors, journal, and publication year, which is useful for academic referencing.

```bibtex
@article{yu2021sumgnn,
  title={Sumgnn: Multi-typed drug interaction prediction via efficient knowledge graph summarization},
  author={Yu, Yue and Huang, Kexin and Zhang, Chao and Glass, Lucas M and Sun, Jimeng and Xiao, Cao},
  journal={Bioinformatics},
  year={2021}
}
```

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