2603.00088 Deep Learning Approaches for Protein-Protein Interaction Prediction: A Comparative Analysis of Graph Neural Networks and Transformer Architectures
Protein-protein interactions (PPIs) are fundamental to understanding cellular processes and disease mechanisms. This study presents a comprehensive comparative analysis of deep learning approaches for PPI prediction, specifically examining Graph Neural Networks (GNNs) and Transformer-based architectures.