An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design

10 October 2021

Papers citing "An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design"

8 / 8 papers shown

Title
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 157 185 0 01 Feb 2021
Quantum Generative Models for Small Molecule Drug Discovery Junde Li R. Topaloglu Swaroop Ghosh GAN 40 55 0 09 Jan 2021
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models Matthew Ragoza Tomohide Masuda D. Koes DiffM MedIm 56 25 0 17 Oct 2020
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 151 628 0 29 Nov 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 181 878 0 07 Jun 2018
Conditional molecular design with deep generative models Seokho Kang Kyunghyun Cho BDL 138 182 0 30 Apr 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 208 1,205 0 12 Feb 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016