Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention

27 February 2021

Papers citing "Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention"

4 / 4 papers shown

Title
Investigation of chemical structure recognition by encoder-decoder models in learning progress Katsuhisa Morita T. Mizuno Hiroyuki Kusuhara 19 8 0 24 Oct 2022
A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processing Benedikt Winter Clemens Winter J. Schilling A. Bardow 27 28 0 15 Jun 2022
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models Daniil Polykovskiy Alexander Zhebrak Benjamín Sánchez-Lengeling Sergey Golovanov Oktai Tatanov ... Simon Johansson Hongming Chen Sergey I. Nikolenko Alán Aspuru-Guzik Alex Zhavoronkov ELM 197 633 0 29 Nov 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 224 1,340 0 12 Feb 2018