Adriana Carolina Gonzalez-Cavazos

This paper introduces DBR-X, an explainable GNN framework for drug repositioning that outperforms existing models in predicting drug-disease associations and provides interpretable biological explanations.

This paper introduces a weighted ensemble method for knowledge graph completion that improves drug-disease candidate discovery by combining knowledge graph embeddings and path-based reasoning.

The paper introduces DrugMechDB, a manually curated database of drug mechanisms for training and evaluating computational drug repurposing models.

This paper evaluates seven link prediction methods on a biomedical knowledge graph to identify drug repurposing candidates by combining path-based reasoning with knowledge graph embedding approaches.