Learning the Interaction Prior for Protein-Protein Interaction Prediction: A Model-Agnostic Approach

ArXi:2605.09964v1 Announce Type: new Protein-protein interactions (PPIs) are fundamental to cellular function and disease mechanisms. Current learning-based PPI predictors focus on learning powerful protein representations but neglect designing specialized classification heads. They mainly rely on generic aggregating methods like concatenation or dot products, which lack biological insight.