601 citations · 1.3k across the 28 of their papers we have counts for
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cs.LG2026
GRAFT: Decoupling Ranking and Calibration for Survival Analysis
Mohammad Ashhad, Robert Hoehndorf, Ricardo Henao
Survival analysis is complicated by censored data, high-dimensional features, and non-linear interactions. Classical models offer interpretability and superior calibration but are…
cs.LG2022★ 38 cited
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
Zhenwei Tang, Shichao Pei, Zhao Zhang +4
Most real-world knowledge graphs (KG) are far from complete and comprehensive. This problem has motivated efforts in predicting the most plausible missing facts to complete a given…