Graphormer-RT Fine-tuned Weights (HILIC)
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