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License: MIT License
Graph convolutional neural networks for analyzing glycans [LEGACY; use glycowork implementation]
License: MIT License
Hi
I'm interested in using SweetNet to represent glycan structures which I need as input for some other ML model training. If I understood the paper correctly, using the SweetNet model, I can give it a glycan structure and it will output a vector representation of that structure, is that correct? And that output representation can then be used to train models for other various prediction tasks?
Do I need to re-train the SweetNet for my glycans, or is it appropriately trained already if my glycans are mostly just human N-glycans? From what I read, SweetNet was trained on all the structures from various glycan databases so it should be applicable to my case.
Thank you!
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