Vencent-Won / SGGRL

The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".
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how to predict the unknow /new molecules by using trained models #1

Closed MachineGUN001 closed 1 day ago

MachineGUN001 commented 10 months ago

hi,

Thanks for providing such an interesting work. Can you please tell me the final prediction of the molecular properties with the command python main.py --dataset esol --task_type reg. Following the steps the prediction model has been built, how can I input the information of the unknown molecule (for example smiles information in a csv file) and get the predicted value by the prediction model?

many thanks,

Sh-Y

Vencent-Won commented 1 day ago

Sorry to late respond, maybe you can save the trained model and load it with eval mode when you test a new molecules. Specifically, you can refer to the evaluate

Vencent-Won commented 1 day ago

Sorry to late respond, maybe you can save the trained model and load it with eval mode when you test a new molecules. Specifically, firstly, you should process the new data; then, input it into the well-established model. You can refer to our readme and main.py.

Vencent-Won commented 1 day ago

Sorry to late respond, maybe you can save the trained model and load it with eval mode when you test a new molecules. You can refer to the readme and main.py