Graph former-CL: A novel graph transformer with contrastive learning framework for enhanced drug-drug interaction prediction
Fig 7
Cross-dataset transfer learning performance analysis.
The transfer performance matrix shows accuracy percentages for different source-target dataset combinations, with color coding indicating transfer quality (red: 90-95% excellent, green: 85-90% good). The best transfer is achieved from Deep DDI to Drug Bank (93.21% accuracy). The legend shows that Graph Former-CL maintains consistent performance across different domain characteristics and molecular diversity levels.