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1812.01070
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Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
3 December 2018
Wengong Jin
Kevin Kaichuang Yang
Regina Barzilay
Tommi Jaakkola
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Papers citing
"Learning Multimodal Graph-to-Graph Translation for Molecular Optimization"
37 / 37 papers shown
Title
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Zhiyuan Liu
Yanchen Luo
Han Huang
Enzhi Zhang
Sihang Li
Junfeng Fang
Yaorui Shi
X. Wang
Kenji Kawaguchi
Tat-Seng Chua
100
3
0
18 Feb 2025
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
Natavsa Tagasovska
Vladimir Gligorijević
Kyunghyun Cho
Andreas Loukas
DiffM
52
4
0
28 May 2024
Multitask Extension of Geometrically Aligned Transfer Encoder
Sung Moon Ko
Sumin Lee
Dae-Woong Jeong
Hyunseung Kim
Chanhui Lee
Soorin Yim
Sehui Han
31
1
0
03 May 2024
GP-MoLFormer: A Foundation Model For Molecular Generation
Jerret Ross
Brian M. Belgodere
Samuel C. Hoffman
Vijil Chenthamarakshan
Youssef Mroueh
Payel Das
Payel Das
36
5
0
04 Apr 2024
An Evaluation of Large Language Models in Bioinformatics Research
Hengchuang Yin
Zhonghui Gu
Fanhao Wang
Yiparemu Abuduhaibaier
Yanqiao Zhu
Xinming Tu
Xian-Sheng Hua
Xiao Luo
Yizhou Sun
LM&MA
36
8
0
21 Feb 2024
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization
Elvin Lo
Pin-Yu Chen
24
0
0
27 Oct 2022
Computer-Aided Multi-Objective Optimization in Small Molecule Discovery
Jenna C. Fromer
Connor W. Coley
21
66
0
13 Oct 2022
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
Andrea Valenti
D. Bacciu
Antonio Vergari
OOD
LRM
32
0
0
05 Oct 2022
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
Sung Moon Ko
Sungjun Cho
Dae-Woong Jeong
Sehui Han
Moontae Lee
Ho Hin Lee
16
9
0
07 Sep 2022
Improving Small Molecule Generation using Mutual Information Machine
Daniel A. Reidenbach
M. Livne
Rajesh Ilango
M. Gill
Johnny Israeli
23
14
0
18 Aug 2022
Controllable Data Generation by Deep Learning: A Review
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
29
28
0
19 Jul 2022
LIMO: Latent Inceptionism for Targeted Molecule Generation
Peter Eckmann
Kunyang Sun
Bo-Lu Zhao
Mudong Feng
Michael K. Gilson
Rose Yu
BDL
41
44
0
17 Jun 2022
An Unpooling Layer for Graph Generation
Yi Guo
Dongmian Zou
Gilad Lerman
10
2
0
04 Jun 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
25
86
0
28 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications
Yanqiao Zhu
Yuanqi Du
Yinkai Wang
Yichen Xu
Jieyu Zhang
Qiang Liu
Shu Wu
3DV
GNN
31
67
0
13 Mar 2022
Genetic Algorithm for Constrained Molecular Inverse Design
Yurim Lee
Gydam Choi
Minsug Yoon
Cheongwon Kim
24
1
0
07 Dec 2021
Weakly Supervised Concept Map Generation through Task-Guided Graph Translation
Jiaying Lu
Xiangjue Dong
Carl Yang
24
3
0
08 Oct 2021
Differentiable Scaffolding Tree for Molecular Optimization
Tianfan Fu
Wenhao Gao
Cao Xiao
Jacob Yasonik
Connor W. Coley
Jimeng Sun
25
75
0
22 Sep 2021
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models
Maciej Wołczyk
Magdalena Proszewska
Lukasz Maziarka
Maciej Ziȩba
Patryk Wielopolski
Rafał Kurczab
Marek Śmieja
DRL
27
5
0
18 Sep 2021
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation
Marco Podda
D. Bacciu
BDL
25
9
0
18 Jul 2021
JANUS: Parallel Tempered Genetic Algorithm Guided by Deep Neural Networks for Inverse Molecular Design
AkshatKumar Nigam
R. Pollice
Alán Aspuru-Guzik
29
51
0
07 Jun 2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Yutong Xie
Chence Shi
Hao Zhou
Yuwei Yang
Weinan Zhang
Yong Yu
Lei Li
21
138
0
18 Mar 2021
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
27
261
0
18 Feb 2021
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
48
56
0
21 Dec 2020
A Deep Generative Model for Molecule Optimization via One Fragment Modification
Ziqi Chen
Martin Renqiang Min
S. Parthasarathy
Xia Ning
21
61
0
08 Dec 2020
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
35
146
0
13 Jul 2020
Guiding Deep Molecular Optimization with Genetic Exploration
Sungsoo Ahn
Junsup Kim
Hankook Lee
Jinwoo Shin
21
70
0
04 Jul 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Matthias Fey
Jan-Gin Yuen
F. Weichert
GNN
28
86
0
22 Jun 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions
Abdulelah S. Alshehri
R. Gani
Fengqi You
AI4CE
22
83
0
18 May 2020
A deep-learning view of chemical space designed to facilitate drug discovery
P. Maragakis
Hunter M. Nisonoff
B. Cole
D. Shaw
34
28
0
07 Feb 2020
Neural Design Network: Graphic Layout Generation with Constraints
Hsin-Ying Lee
Lu Jiang
Irfan Essa
Madison Le
Haifeng Gong
Ming-Hsuan Yang
Weilong Yang
29
136
0
19 Dec 2019
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy
Tianfan Fu
Cao Xiao
Jimeng Sun
26
63
0
23 Nov 2019
Learning to Make Generalizable and Diverse Predictions for Retrosynthesis
Benson Chen
T. Shen
Tommi Jaakkola
Regina Barzilay
11
46
0
21 Oct 2019
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
AkshatKumar Nigam
Pascal Friederich
Mario Krenn
Alán Aspuru-Guzik
AI4CE
17
128
0
25 Sep 2019
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
Niklas W. A. Gebauer
M. Gastegger
Kristof T. Schütt
13
201
0
02 Jun 2019
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
200
885
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,337
0
12 Feb 2018
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