README.md

# Artificial Intelligence in Medicine 2023
## Content in each directory:


- **documentation**: Instructions to install the needed libraries.
- **graphData**: Data of DISNET's graph.
- **models**: Trained models.
- **plots**: Plots of the models' results and metrics.
- **results**: Result files of the RepoDB test and the model's novel predictions.
- **Code files:**
  - deepSnapPred (train & test DeepSnap) 
  - heterograph_construction (build graph)
  - testRepoDB (validate model using RepoDB) 
  - topN (getting top N new predictions of a model)
  - utilities (plotting utilities)

## Summary
Repository of the AIIM2023 ""Uncovering Hidden Therapeutic Indications through Drug Repurposing with Graph Neural Networks and Heterogeneous Data"" paper.