Name Change

README.md

-# REDIRECTION: Generating drug repurposing hypotheses using link prediction with DISNET data
+# Enhancing drug repurposing on graphs by integrating drug molecular structure as feature
 
 <img src="./logo/logo.svg">
 
 ## Content in each directory:
 - **data**: Data to build DISNET's graph.
-
 - **documentation**: Instructions to install the needed libraries.
-- **logo**: REDIRECTION's logo. 
 - **metrics**: Training, testing and RepoDB validating ROC & PRC.
 - **models**: Trained models.
 - **results**: Result files of the RepoDB test and the distribution plots (once these are generated).
 - **testData**: Data to validate model using RepoDB.
 - **Code files:**
   - autoencoder (autoencoder model) 
+  - dmsr (train & test) 
   - drug_embedding_generator (generates drug embeddings using SMILES representation).
   - heterograph_construction (build graph)
-  - dmsr (train & test) 
   - testRepoDB (validate model using RepoDB)
+  - topN (get top n predictions)
   - utilities (plotting utilities)
 
 ## Summary
-Repository of the CBMS2022 "Enhancing drug repurposing on graphs by integrating drug molecular structure as feature" paper.
\ No newline at end of file
+Repository of the CBMS2023 "Enhancing drug repurposing on graphs by integrating drug molecular structure as feature" paper.
\ No newline at end of file