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.
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