11 citations · 25 across the 9 of their papers we have counts for
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cs.LG2022★ 2 cited
Ensemble Spectral Prediction (ESP) Model for Metabolite Annotation
Xinmeng Li, Hao Zhu, Li-ping Liu +1
A key challenge in metabolomics is annotating measured spectra from a biological sample with chemical identities. Currently, only a small fraction of measurements can be assigned i…
cs.LG2021★ 1 cited
Stochastic Iterative Graph Matching
Linfeng Liu, Michael C. Hughes, Soha Hassoun +1
Recent works leveraging Graph Neural Networks to approach graph matching tasks have shown promising results. Recent progress in learning discrete distributions poses new opportunit…
cs.LG2020★ 11 cited
Using Graph Neural Networks for Mass Spectrometry Prediction
Hao Zhu, Liping Liu, Soha Hassoun
Detecting and quantifying products of cellular metabolism using Mass Spectrometry (MS) has already shown great promise in many biological and biomedical applications. The biggest c…