# KGNN

**Repository Path**: wangxiaolei21/KGNN

## Basic Information

- **Project Name**: KGNN
- **Description**: KGNN-ddi
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-11-13
- **Last Updated**: 2021-11-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Knowledge Graph Neural Network
This is our implementation for the paper
> Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma and Xiangxiang Zeng. KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction. IJCAI' 20 accepted.

<img align="center" src="Figure1.png">
Figure 1 shows the overview of KGNN. It takes the parsed DDI matrix and knowledge graph obtained from preprocessing of dataset as the input. It outputs the interaction value for the drug-drug pair. 

# Requirement
To run the code, you need the following dependencies:
* Python == 3.6.6
* Keras == 2.3.0
* Tensorflow == 1.13.1
* scikit-learn == 0.22

# Installation
You can create a virtual environment using [conda](https://github.com/conda/conda).
```bash
conda create -n kgnn python=3.6.6  
source activate kgnn  
git clone https://github.com/xzenglab/KGNN.git  
cd KGNN  
pip install -r requirement.txt  
```

# Dataset
We just provide the preprocessed KG from KEGG dataset owing to the size limited. Please feel free contact us if you need the KG from DrugBank dataset (V5.1.4). The construction of KG please refer to [Bio2RDF](https://github.com/bio2rdf/bio2rdf-scripts/wiki) tool in detail.

# Usage
```bash
python run.py
```

# Citation
(To appear)

For any clarification, comments, or suggestions please create an issue or contact [Jacklin](Jack_lin@hnu.edu.cn).