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
558
Downloads
1
Citations