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Is there a way to use constraint optimization to find novel molecules with higher desired property?
I read the paper about your previous work (Junction Tree Variational Autoencoder) and wonder if it is feasible to jointly train HeirG2G with a property predictor and use gradient ascent to find novel similar molecules.
Thanks!
The text was updated successfully, but these errors were encountered:
Is there a way to use constraint optimization to find novel molecules with higher desired property?
I read the paper about your previous work (Junction Tree Variational Autoencoder) and wonder if it is feasible to jointly train HeirG2G with a property predictor and use gradient ascent to find novel similar molecules.
Thanks!
The text was updated successfully, but these errors were encountered: