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Bridging the Gap between Chemical Reaction Pretraining and Conditional
  Molecule Generation with a Unified Model

Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation with a Unified Model

13 March 2023
Bo Qiang
Yiran Zhou
Yuheng Ding
Ningfeng Liu
Song Song
L. Zhang
Bowei Huang
Zhenming Liu
    AI4CE
ArXivPDFHTML

Papers citing "Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation with a Unified Model"

4 / 4 papers shown
Title
Top-N: Equivariant set and graph generation without exchangeability
Top-N: Equivariant set and graph generation without exchangeability
Clément Vignac
P. Frossard
BDL
50
34
0
05 Oct 2021
Chemical-Reaction-Aware Molecule Representation Learning
Chemical-Reaction-Aware Molecule Representation Learning
Hongwei Wang
Weijian Li
Xiaomeng Jin
Kyunghyun Cho
Heng Ji
Jiawei Han
Martin Burke
92
46
0
21 Sep 2021
Mapping the Space of Chemical Reactions Using Attention-Based Neural
  Networks
Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks
P. Schwaller
Daniel Probst
Alain C. Vaucher
Vishnu H. Nair
D. Kreutter
Teodoro Laino
J. Reymond
116
220
0
09 Dec 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
151
628
0
29 Nov 2018
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