A professor reviewed drugs being tested against COVID-19 that were repurposed from other uses. Researchers generated a knowledge graph embedding from 183k triples connecting proteins, genes, drugs and diseases. Their preliminary link prediction model achieved 50% accuracy at ranking potential interactions, higher than random chance, and integrated machine learning with biological insights on drug development.