Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach

This cover illustrates the transformation from image space to graph representations. It highlights how compact graph-based features enable accurate classification while reducing computational cost and inference time significantly. The design emphasizes efficient decision-making through lightweight representations without compromising predictive accuracy. More details can be found in the Research Article by Joerg Lahann and co-workers (DOI: 10.1002/aidi.202500225).