Michaël Ughetto

This paper introduces Dis2Vec, a representation learning framework for human diseases that enables therapeutic transferability prediction and disease clustering, enhancing translational research efficiency.

This paper introduces XP-GNN, a method for explaining Graph Neural Networks in biological knowledge graphs by leveraging community structures, showing improved relevance in drug discovery use cases.

The paper introduces a knowledge graph for drug development that integrates data from multiple sources and supports various tasks through customizable graph projections and machine learning models.