Fig. 3 Performance of the generative model G, with and without stack-augmented memory. Performance of the generative model G, with and without stack-augmented.

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Fig. 3 Performance of the generative model G, with and without stack-augmented memory. Performance of the generative model G, with and without stack-augmented memory. (A) Internal diversity of generated libraries. (B) Similarity of the generated libraries to the training data set from the ChEMBL database. Mariya Popova et al. Sci Adv 2018;4:eaap7885 Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).