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cs.LG2026
DISTAL: Distillation and Self-Supervised Pretraining for Structure-Agnostic Materials Property Prediction
Weiran Wang, Xintong Huo, Yueying Wang +7
Materials property prediction remains difficult in low-data settings, where many target properties are supported by only a limited number of labeled samples. Models with the strong…
cs.LG2024★ 3 cited
PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
Ruochi Zhang, Haoran Wu, Chang Liu +8
Recent advances in protein language models have catalyzed significant progress in peptide sequence representation. Despite extensive exploration in this field, pre-trained models t…