A Unified View of Relational Deep Learning for Drug Pair Scoring
A Unified View of Relational Deep Learning for Drug Pair Scoring
In recent years, numerous machine learning models which attempt to solve polypharmacy side effect identification, drug-drug interaction prediction, and combination therapy design tasks have been proposed. Here, we present a unified theoretical view of relational machine learning models which can address these tasks. We provide fundamental definitions, compare existing model …