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Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation
  in 3D
v1v2 (latest)

Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D

5 May 2023
Yiran Zhou
Yuxuan Song
Minkai Xu
Jingjing Gong
B. Gao
Hao Zhou
Weiying Ma
Yanyan Lan
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D"

27 / 27 papers shown
Title
Torsional Diffusion for Molecular Conformer Generation
Torsional Diffusion for Molecular Conformer Generation
Bowen Jing
Gabriele Corso
Jeffrey Chang
Regina Barzilay
Tommi Jaakkola
DiffMBDL
91
272
0
01 Jun 2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Xingang Peng
Shitong Luo
Jiaqi Guan
Qi Xie
Jian-wei Peng
Jianzhu Ma
74
189
0
15 May 2022
Diffusion Probabilistic Modeling for Video Generation
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang
Prakhar Srivastava
Stephan Mandt
DiffMVGen
128
266
0
16 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation
  Generation
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu
Lantao Yu
Yang Song
Chence Shi
Stefano Ermon
Jian Tang
BDLDiffM
160
516
0
06 Mar 2022
Top-N: Equivariant set and graph generation without exchangeability
Top-N: Equivariant set and graph generation without exchangeability
Clément Vignac
P. Frossard
BDL
114
34
0
05 Oct 2021
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
Lu Mi
Hang Zhao
C. Nash
Xiaohan Jin
Jiyang Gao
Chen Sun
Cordelia Schmid
Nir Shavit
Yuning Chai
Drago Anguelov
40
53
0
28 Jun 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
67
684
0
10 Jun 2021
Learning to design drug-like molecules in three-dimensional space using
  deep generative models
Learning to design drug-like molecules in three-dimensional space using deep generative models
Yibo Li
Jianfeng Pei
L. Lai
DiffM
87
113
0
17 Apr 2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Yutong Xie
Chence Shi
Hao Zhou
Yuwei Yang
Weinan Zhang
Yong Yu
Lei Li
88
144
0
18 Mar 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
111
1,020
0
19 Feb 2021
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
Maksim Kuznetsov
Daniil Polykovskiy
57
43
0
03 Feb 2021
GEOM: Energy-annotated molecular conformations for property prediction
  and molecular generation
GEOM: Energy-annotated molecular conformations for property prediction and molecular generation
Simon Axelrod
Rafael Gómez-Bombarelli
3DVAI4CE
92
217
0
09 Jun 2020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric
  Densities
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
Jonas Köhler
Leon Klein
Frank Noé
DRL
101
274
0
03 Jun 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
79
288
0
08 Feb 2020
Generalization in Generation: A closer look at Exposure Bias
Generalization in Generation: A closer look at Exposure Bias
Florian Schmidt
91
89
0
01 Oct 2019
Symmetry-adapted generation of 3d point sets for the targeted discovery
  of molecules
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
Niklas W. A. Gebauer
M. Gastegger
Kristof T. Schütt
123
209
0
02 Jun 2019
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental
  for Autoregressive Text Generation?
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?
Tianxing He
Jingzhao Zhang
Zhiming Zhou
James R. Glass
72
32
0
25 May 2019
GuacaMol: Benchmarking Models for De Novo Molecular Design
GuacaMol: Benchmarking Models for De Novo Molecular Design
Nathan Brown
Marco Fiscato
Marwin H. S. Segler
Alain C. Vaucher
ELM
112
711
0
22 Nov 2018
PointConv: Deep Convolutional Networks on 3D Point Clouds
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu
Zhongang Qi
Fuxin Li
3DPC
131
1,564
0
17 Nov 2018
Constrained Graph Variational Autoencoders for Molecule Design
Constrained Graph Variational Autoencoders for Molecule Design
Qi Liu
Miltiadis Allamanis
Marc Brockschmidt
Alexander L. Gaunt
BDL
77
456
0
23 May 2018
Syntax-Directed Variational Autoencoder for Structured Data
Syntax-Directed Variational Autoencoder for Structured Data
H. Dai
Yingtao Tian
Bo Dai
Steven Skiena
Le Song
102
329
0
24 Feb 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
95
973
0
22 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
352
1,368
0
12 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational
  Autoencoders
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
M. Simonovsky
N. Komodakis
GNNBDL
117
851
0
09 Feb 2018
SchNet: A continuous-filter convolutional neural network for modeling
  quantum interactions
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
155
1,076
0
26 Jun 2017
Grammar Variational Autoencoder
Grammar Variational Autoencoder
Matt J. Kusner
Brooks Paige
José Miguel Hernández-Lobato
BDLDRL
85
844
0
06 Mar 2017
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
306
7,005
0
12 Mar 2015
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