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Equivariant Diffusion for Molecule Generation in 3D
v1v2 (latest)

Equivariant Diffusion for Molecule Generation in 3D

31 March 2022
Emiel Hoogeboom
Victor Garcia Satorras
Clément Vignac
Max Welling
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Equivariant Diffusion for Molecule Generation in 3D"

50 / 404 papers shown
Title
Full-Atom Peptide Design based on Multi-modal Flow Matching
Full-Atom Peptide Design based on Multi-modal Flow Matching
Jiahan Li
Chaoran Cheng
Zuofan Wu
Ruihan Guo
Shitong Luo
Zhizhou Ren
Jian-wei Peng
Jianzhu Ma
115
18
0
02 Jun 2024
Neural Polarization: Toward Electron Density for Molecules by Extending
  Equivariant Networks
Neural Polarization: Toward Electron Density for Molecules by Extending Equivariant Networks
Bumju Kwak
Jeonghee Jo
87
0
0
01 Jun 2024
Diffusion On Syntax Trees For Program Synthesis
Diffusion On Syntax Trees For Program Synthesis
Shreyas Kapur
Erik Jenner
Stuart J. Russell
DiffM
100
5
0
30 May 2024
A Recipe for Charge Density Prediction
A Recipe for Charge Density Prediction
Xiang Fu
Andrew S. Rosen
Kyle Bystrom
Rui Wang
Albert Musaelian
Boris Kozinsky
Tess E. Smidt
Tommi Jaakkola
89
6
0
29 May 2024
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
Najwa Laabid
Severi Rissanen
Markus Heinonen
Arno Solin
Vikas Garg
DiffM
87
1
0
27 May 2024
Reflected Flow Matching
Reflected Flow Matching
Tianyu Xie
Yu Zhu
Longlin Yu
Tong Yang
Ziheng Cheng
Shiyue Zhang
Xiangyu Zhang
Cheng Zhang
84
6
0
26 May 2024
Nonlinear denoising score matching for enhanced learning of structured
  distributions
Nonlinear denoising score matching for enhanced learning of structured distributions
Jeremiah Birrell
Markos A. Katsoulakis
Luc Rey-Bellet
Benjamin J. Zhang
Wei-wei Zhu
DiffM
58
1
0
24 May 2024
Learning to Discretize Denoising Diffusion ODEs
Learning to Discretize Denoising Diffusion ODEs
Vinh Tong
Hoang Trung-Dung
Anji Liu
Guy Van den Broeck
Mathias Niepert
DiffM
136
6
0
24 May 2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy
  Physics
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
Jonas Spinner
Victor Bresó
P. D. Haan
Tilman Plehn
Jesse Thaler
Johann Brehmer
AI4CE
96
19
0
23 May 2024
Fisher Flow Matching for Generative Modeling over Discrete Data
Fisher Flow Matching for Generative Modeling over Discrete Data
Oscar Davis
Samuel Kessler
Mircea Petrache
.Ismail .Ilkan Ceylan
Michael M. Bronstein
A. Bose
103
21
0
23 May 2024
Regressor-free Molecule Generation to Support Drug Response Prediction
Regressor-free Molecule Generation to Support Drug Response Prediction
Kun Li
Xiuwen Gong
Shirui Pan
Hongzhi Zhang
Bo Du
Wenbin Hu
68
1
0
23 May 2024
Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Pose
Multi-Type Point Cloud Autoencoder: A Complete Equivariant Embedding for Molecule Conformation and Pose
Michael Kilgour
Mark Tuckerman
Jutta Rogal
112
0
0
22 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation
Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu
Ruizhong Qiu
Yuzhong Chen
Huiyuan Chen
Xiran Fan
Menghai Pan
Zhichen Zeng
Mahashweta Das
Hanghang Tong
122
23
0
19 May 2024
Response Matching for generating materials and molecules
Response Matching for generating materials and molecules
Bingqing Cheng
DiffM
58
1
0
15 May 2024
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation
  Learning
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
Jiying Zhang
Zijing Liu
Yu Wang
Yu-Feng Li
DiffM
80
1
0
09 May 2024
A Review on Fragment-based De Novo 2D Molecule Generation
A Review on Fragment-based De Novo 2D Molecule Generation
Sergei Voloboev
VLM
63
2
0
08 May 2024
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion
Adeesh Kolluru
John R. Kitchin
DiffM
83
5
0
07 May 2024
Structure-based drug design by denoising voxel grids
Structure-based drug design by denoising voxel grids
Pedro H. O. Pinheiro
Arian R. Jamasb
Omar Mahmood
Vishnu Sresht
Saeed Saremi
DiffM
54
9
0
07 May 2024
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
Bing Hu
Ashish Saragadam
Anita Layton
Helen Chen
DiffM
59
1
0
06 May 2024
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim
Jaehyun Nam
Sihyun Yu
Younghoon Shin
Jinwoo Shin
110
3
0
05 May 2024
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding
Kaiyuan Chen
Xingzhuo Guo
Yu Zhang
Jianmin Wang
Mingsheng Long
DiffM
56
1
0
03 May 2024
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
M. Cretu
Charles Harris
Julien Roy
Emmanuel Bengio
Pietro Lio
Bruno Correia
Julien Roy
Emmanuel Bengio
Pietro Liò
91
5
0
02 May 2024
Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule
  Generation
Mixed Continuous and Categorical Flow Matching for 3D De Novo Molecule Generation
Ian Dunn
D. Koes
BDLDiffM
95
15
0
30 Apr 2024
ControlMol: Adding Substruture Control To Molecule Diffusion Models
ControlMol: Adding Substruture Control To Molecule Diffusion Models
Zhengyang Qi
Zijing Liu
Jiying Zhang
He Cao
Yu-Feng Li
73
2
0
22 Apr 2024
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
Yanru Qu
Keyue Qiu
Yuxuan Song
Jingjing Gong
Jiawei Han
Mingyue Zheng
Hao Zhou
Wei-Ying Ma
109
20
0
18 Apr 2024
Molecular relaxation by reverse diffusion with time step prediction
Molecular relaxation by reverse diffusion with time step prediction
Khaled Kahouli
Stefaan S. P. Hessmann
Klaus-Robert Muller
Shinichi Nakajima
Stefan Gugler
Niklas W. A. Gebauer
DiffM
72
6
0
16 Apr 2024
Diffusion Models Meet Remote Sensing: Principles, Methods, and
  Perspectives
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives
Yidan Liu
Jun Yue
Shaobo Xia
Pedram Ghamisi
Weiying Xie
Leyuan Fang
DiffM
97
17
0
13 Apr 2024
Quantum State Generation with Structure-Preserving Diffusion Model
Quantum State Generation with Structure-Preserving Diffusion Model
Yuchen Zhu
Tianrong Chen
Evangelos A. Theodorou
Xie Chen
Molei Tao
DiffM
84
8
0
09 Apr 2024
AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug
  Design
AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design
Xinze Li
Penglei Wang
Tianfan Fu
Wenhao Gao
Chengtao Li
Leilei Shi
Junhong Liu
104
3
0
02 Apr 2024
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
Jiachen Ma
Anda Cao
Zhiqing Xiao
Jie Zhang
Chaonan Ye
Chao Ye
Junbo Zhao
135
33
0
02 Apr 2024
Diffusion-Driven Domain Adaptation for Generating 3D Molecules
Diffusion-Driven Domain Adaptation for Generating 3D Molecules
Haokai Hong
Wanyu Lin
Kay Chen Tan
DiffM
74
2
0
01 Apr 2024
Manifold-Guided Lyapunov Control with Diffusion Models
Manifold-Guided Lyapunov Control with Diffusion Models
Amartya Mukherjee
Thanin Quartz
Jun Liu
88
0
0
26 Mar 2024
Diffusion-based Negative Sampling on Graphs for Link Prediction
Diffusion-based Negative Sampling on Graphs for Link Prediction
Trung-Kien Nguyen
Yuan Fang
DiffM
76
11
0
25 Mar 2024
Physics-Informed Diffusion Models
Physics-Informed Diffusion Models
Jan-Hendrik Bastek
WaiChing Sun
D. Kochmann
DiffMAI4CE
190
20
0
21 Mar 2024
A Practical Guide to Statistical Distances for Evaluating Generative
  Models in Science
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science
Sebastian Bischoff
Alana Darcher
Michael Deistler
Richard Gao
Franziska Gerken
...
Auguste Schulz
Zinovia Stefanidi
Shoji Toyota
Linda Ulmer
Julius Vetter
SyDa
52
14
0
19 Mar 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen
Xinyang Jiang
Yezhen Wang
Yifan Yang
Dongqi Han
Dongsheng Li
FaML
86
14
0
19 Mar 2024
Diffusion-Based Environment-Aware Trajectory Prediction
Diffusion-Based Environment-Aware Trajectory Prediction
Theodor Westny
Björn Olofsson
Erik Frisk
87
12
0
18 Mar 2024
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
Yuxuan Song
Jingjing Gong
Yanru Qu
Hao Zhou
Mingyue Zheng
Jingjing Liu
Wei-Ying Ma
89
13
0
17 Mar 2024
Multi-conditioned Graph Diffusion for Neural Architecture Search
Multi-conditioned Graph Diffusion for Neural Architecture Search
Rohan Asthana
Joschua Conrad
Youssef Dawoud
M. Ortmanns
Vasileios Belagiannis
GNNAI4CE
70
6
0
09 Mar 2024
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided
  Diffusion
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion
Bowen Gao
Minsi Ren
Yuyan Ni
Yanwen Huang
Yiran Zhou
Zhiming Ma
Wei-Ying Ma
Yanyan Lan
73
6
0
04 Mar 2024
Neural Graph Generator: Feature-Conditioned Graph Generation using
  Latent Diffusion Models
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
Iakovos Evdaimon
Giannis Nikolentzos
Michail Chatzianastasis
Hadi Abdine
Michalis Vazirgiannis
DiffM
61
4
0
03 Mar 2024
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow
  Models
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
Neta Shaul
Uriel Singer
Ricky T. Q. Chen
Matt Le
Ali K. Thabet
Albert Pumarola
Y. Lipman
DiffM
82
4
0
02 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
168
25
0
01 Mar 2024
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Penghao Zhao
Hailin Zhang
Qinhan Yu
Zhengren Wang
Yunteng Geng
Fangcheng Fu
Ling Yang
Wentao Zhang
Jie Jiang
Tengjiao Wang
3DV
290
286
0
29 Feb 2024
Extended Flow Matching: a Method of Conditional Generation with
  Generalized Continuity Equation
Extended Flow Matching: a Method of Conditional Generation with Generalized Continuity Equation
Noboru Isobe
Masanori Koyama
Jinzhe Zhang
Kohei Hayashi
Kenji Fukumizu
144
10
0
29 Feb 2024
Structure Preserving Diffusion Models
Structure Preserving Diffusion Models
Haoye Lu
S. Szabados
Yaoliang Yu
DiffM
85
3
0
29 Feb 2024
Structure-Guided Adversarial Training of Diffusion Models
Structure-Guided Adversarial Training of Diffusion Models
Ling Yang
Haotian Qian
Zhilong Zhang
Jingwei Liu
Tengjiao Wang
89
12
0
27 Feb 2024
TrustMol: Trustworthy Inverse Molecular Design via Alignment with
  Molecular Dynamics
TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics
Kevin Tirta Wijaya
Navid Ansari
Hans-Peter Seidel
Vahid Babaei
60
0
0
26 Feb 2024
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based
  Drug Design
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan
Xiangxin Zhou
Yuwei Yang
Yu Bao
Jian-wei Peng
Jianzhu Ma
Qiang Liu
Liang Wang
Quanquan Gu
99
75
0
26 Feb 2024
An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning
An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning
Rui Jiao
Xiangzhe Kong
Ziyang Yu
Wenbing Huang
Fangyuan Ren
Wenjuan Tan
Wenbing Huang
Yang Liu
41
2
0
20 Feb 2024
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