229 citations · 331 across the 9 of their papers we have counts for
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cs.LG2026
MOLAR: Learning Multimodal Molecular Representations from Noisy Labels
Yingxu Wang, Kunyu Zhang, Nan Yin +2
Motivation: Noisy labels are a common challenge in molecular property prediction because molecular annotations are often obtained from assays, curated databases, or weak annotation…
cs.LG2021
CLMB: deep contrastive learning for robust metagenomic binning
Pengfei Zhang, Zhengyuan Jiang, Yixuan Wang +1
The reconstruction of microbial genomes from large metagenomic datasets is a critical procedure for finding uncultivated microbial populations and defining their microbial function…
cs.LG2021★ 3 cited
HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides
Qinze Yu, Zhihang Dong, Xingyu Fan +2
Identifying the targets of an antimicrobial peptide is a fundamental step in studying the innate immune response and combating antibiotic resistance, and more broadly, precision me…