Infectious Disease Knowledge Graph(IDKG): Integrating Multi-Modal Data for a Comprehensive Knowledge Graph to Advance Infectious Disease Research
IDKG is a comprehensive knowledge graph for infectious diseases that integrates multi-modal biomedical data. It has comprised nearly 50,000 nodes across 8 types and 1.2 million edges of 11 types. Leveraging deep learning techniques, IDKG offers application scenarios for drug development, with particular significance during pandemic outbreaks.
Clone the repo.
git clone git@github.com:henryFan128/IDKG.git
Create and activate the enviroment.
conda env create -f environment.yml
conda activate IDKG
In the DrugRepurposing directory, IDKG can be applied to repurpose drugs based on the data stored in graph databases, such as Neo4j.
# train the model
python train.py
# predict/inference
python predict.py