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Barking up the right tree: an approach to search over molecule synthesis
  DAGs

Barking up the right tree: an approach to search over molecule synthesis DAGs

21 December 2020
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
ArXivPDFHTML

Papers citing "Barking up the right tree: an approach to search over molecule synthesis DAGs"

9 / 9 papers shown
Title
Challenging reaction prediction models to generalize to novel chemistry
Challenging reaction prediction models to generalize to novel chemistry
John Bradshaw
Anji Zhang
Babak Mahjour
David E. Graff
Marwin H. S. Segler
Connor W. Coley
37
1
0
11 Jan 2025
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph
  Neural Networks
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks
Ryien Hosseini
F. Simini
Austin R. Clyde
A. Ramanathan
13
5
0
04 Nov 2022
An efficient graph generative model for navigating ultra-large
  combinatorial synthesis libraries
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries
Aryan Pedawi
P. Gniewek
Chao-Ling Chang
Brandon M. Anderson
H. V. D. Bedem
17
5
0
19 Oct 2022
Bayesian Sequential Stacking Algorithm for Concurrently Designing
  Molecules and Synthetic Reaction Networks
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks
Qi Zhang
Chang Liu
Stephen Wu
Ryo Yoshida
BDL
24
3
0
01 Mar 2022
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug
  Discovery and Development
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
J. Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Zitnik
OOD
LM&MA
25
259
0
18 Feb 2021
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De
  Novo Drug Design
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design
Cheng-Hao Liu
Maksym Korablyov
Stanislaw Jastrzebski
Pawel Wlodarczyk-Pruszynski
Yoshua Bengio
Marwin H. S. Segler
GNN
22
16
0
25 Nov 2020
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
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
169
628
0
29 Nov 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
186
884
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
219
1,332
0
12 Feb 2018
1