AbLWR turns affinity prediction into listwise ranking with positive-unlabeled learning and context-aware attention, claiming over 10% better Precision@1 than baselines on cross-validation and case studies for influenza and IL-33.
Details for Ranking Module The Ranking Module first projects the input matrix ET ∈R K×2dout to a hidden dimension dr, yielding the initial features Z(0) ∈R K×d r
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AbLWR:A Context-Aware Listwise Ranking Framework for Antibody-Antigen Binding Affinity Prediction via Positive-Unlabeled Learning
AbLWR turns affinity prediction into listwise ranking with positive-unlabeled learning and context-aware attention, claiming over 10% better Precision@1 than baselines on cross-validation and case studies for influenza and IL-33.