Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification

This paper introduces Transductive Sharpening (TS), a novel loss-level modification for semi-supervised node classification. It leverages predictions on unlabeled nodes by minimizing prediction entropy to extract useful training signals often discarded by standard supervised objectives.