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2310.09267
Cited By
Genetic algorithms are strong baselines for molecule generation
13 October 2023
Austin Tripp
José Miguel Hernández-Lobato
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Papers citing
"Genetic algorithms are strong baselines for molecule generation"
16 / 16 papers shown
Title
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Hyeon-Seob Kim
Minsu Kim
Sanghyeok Choi
Jinkyoo Park
31
3
0
31 Dec 2024
Molecule Generation with Fragment Retrieval Augmentation
Seul Lee
Karsten Kreis
Srimukh Prasad Veccham
Meng Liu
Danny Reidenbach
Saee Paliwal
Arash Vahdat
Weili Nie
VLM
68
1
0
18 Nov 2024
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
Nina Gubina
Andrei Dmitrenko
Gleb Solovev
Lyubov Yamshchikova
Oleg Petrov
Ivan Lebedev
N. Serov
Grigorii Kirgizov
Nikolay Nikitin
Vladimir Vinogradov
16
0
0
22 Oct 2024
Generative Artificial Intelligence for Navigating Synthesizable Chemical Space
Wenhao Gao
Shitong Luo
Connor W. Coley
13
5
0
04 Oct 2024
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
Rafał Karczewski
Samuel Kaski
Markus Heinonen
Vikas K. Garg
30
0
0
12 Aug 2024
Diagnosing and fixing common problems in Bayesian optimization for molecule design
Austin Tripp
José Miguel Hernández-Lobato
24
1
0
11 Jun 2024
Active learning for affinity prediction of antibodies
Alexandra Gessner
Sebastian W. Ober
Owen Vickery
Dino Oglic
Talip Uçar
AI4CE
19
4
0
11 Jun 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Miguel González Duque
Richard Michael
Simon Bartels
Yevgen Zainchkovskyy
Søren Hauberg
Wouter Boomsma
21
4
0
07 Jun 2024
Using GNN property predictors as molecule generators
Felix Therrien
Edward H. Sargent
Oleksandr Voznyy
27
1
0
05 Jun 2024
Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation
Jeff Guo
Philippe Schwaller
Mamba
37
7
0
27 May 2024
Gradient-based Design of Computational Granular Crystals
Atoosa Parsa
C. O’Hern
Rebecca Kramer‐Bottiglio
Josh Bongard
20
1
0
07 Apr 2024
Domain-Agnostic Molecular Generation with Chemical Feedback
Yin Fang
Ningyu Zhang
Zhuo Chen
Lingbing Guo
Xiaohui Fan
Huajun Chen
28
11
0
26 Jan 2023
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
157
185
0
01 Feb 2021
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
167
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
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
208
1,329
0
12 Feb 2018
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