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Hi!
I am quite fascinated by your approach,I was wondering if we could tweak the present architecture or if the present architecture can give lets say a d dimensional feature vector of any SMILES molecule given to it,like a molecule fingerprint which can be used for other downstream tasks e.g. calculating two SMILES sequence similarity.
Thanks and Regards
The text was updated successfully, but these errors were encountered:
Hi!
I am quite fascinated by your approach,I was wondering if we could tweak the present architecture or if the present architecture can give lets say a d dimensional feature vector of any SMILES molecule given to it,like a molecule fingerprint which can be used for other downstream tasks e.g. calculating two SMILES sequence similarity.
Thanks and Regards
The text was updated successfully, but these errors were encountered: