# SAGAN

**Repository Path**: Tomhappy/SAGAN

## Basic Information

- **Project Name**: SAGAN
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-09-19
- **Last Updated**: 2026-09-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# SAGAN
SAGAN: A Subgraph-Aware Graph Attention Network for Drug repositioning


# Requirments

```
python==3.8.10
torch==2.0.1+cu117
torch-geometric==2.6.1
torch-scatter==2.1.2
torch-sparse==0.6.18
pytorch_lightning==1.9.0
labml==0.4.168
In our experiment setting: cuda11.7
```
Note: If there is a problem with the torch-sparse installation, please use the link 
[https://pytorch-geometric.com/whl/torch-2.0.1%2Bcu117.html](https://pytorch-geometric.com/whl/torch-2.0.1%2Bcu117.html) to download the appropriate torch-sparse version.

# Datasets
- Fdataset
- Cdataset
- LRSSL

# How to use
```
run main.py
```
# Cite
```
If you use SAGAN in your research, please cite:
Xiangmao Meng, Xinqiang Wen,Xinliang Sun, Ju Xiang, Yahui Long, Xuan Lin* and Min Li*.
SAGAN: A Subgraph-Aware Graph Attention Network for Drug repositioning[J].Tsinghua Science and Technology, 2025, https://doi.org/10.26599/TST.2025.9010108
```