Graphormer-RT Fine-tuned Weights (HILIC)

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Authors: Kaden Coulter, Ethan Israel, Daraudom Nhem, Katherine R. Heal
Cited by: 0

Abstract

These weights are for Graphormer-RT and were fine-tuned from the original weights for improved HILIC performance. The original model was developed by Cailum M. K. Stienstra, Emir Nazdrajić, and W. Scott Hopkins, as described in: “From Reverse Phase Chromatography to HILIC: Graph Transformers Power Method-Independent Machine Learning of Retention Times,” published in Analytical Chemistry.Code for training and inference using these weights is available in our repository: deep_metab.

Fields of Study & Subjects

Analytical Chemistry and Chromatography Computational Drug Discovery Methods Metabolomics and Mass Spectrometry Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN