Category:
Theoretical and Computational Chemistry
,
Working Paper
, Title:
GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative Examination Networks
, Authors:
Ruud van Deursen, Peter Ertl, Igor Tetko, Guillaume Godin
Version 1 posted 12 September 2019
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