README.md

# AIIM2023
<img src="./logo/logo.svg">

## Content in each directory:


- **documentation**: Instructions to install the needed libraries.
- **graphData**: Data of DISNET's graph.
- **metrics**: Training, testing and RepoDB verification ROC & PRC, also loss evolution for training and validation.
- **models**: Trained models.
- **results**: Result files of the RepoDB test and the distribution plots (once these are generated).
- **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)
  - visualizeDistribution (Checks the distribution of the predictions for a group of diseases, check TFG for more information).
  - visualizeEmbeddings (visualization of embeddings)

## Summary
Repository of the AIIM2023 "" paper.
REDIRECTION stands for dRug rEpurposing Disnet lInk pREdiCTION.