KAN-GIN: Adaptive Nonlinear Molecular Representation Learning for Drug-Target Affinity Prediction
KAN-based post-aggregation transformations represent an emerging design option for graph-based DTA prediction, however, the latent-space and structure-based findings should not be interpreted as evidence of mechanistic biological relevance without prospective experimental validation.