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Equivariant Diffusion for Molecule Generation in 3D

Equivariant Diffusion for Molecule Generation in 3D

31 March 2022
Emiel Hoogeboom
Victor Garcia Satorras
Clément Vignac
Max Welling
    DiffM
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Papers citing "Equivariant Diffusion for Molecule Generation in 3D"

50 / 57 papers shown
Title
GEOM-Drugs Revisited: Toward More Chemically Accurate Benchmarks for 3D Molecule Generation
GEOM-Drugs Revisited: Toward More Chemically Accurate Benchmarks for 3D Molecule Generation
Filipp Nikitin
Ian Dunn
D. Koes
Olexandr Isayev
36
0
0
30 Apr 2025
FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation
FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation
Julian Cremer
Ross Irwin
Alessandro Tibot
J. Janet
Simon Olsson
Djork-Arné Clevert
21
0
0
14 Apr 2025
Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling
Towards Unified Latent Space for 3D Molecular Latent Diffusion Modeling
Yanchen Luo
Zhiyuan Liu
Yi Zhao
Sihang Li
Kenji Kawaguchi
Tat-Seng Chua
X. Wang
MedIm
57
0
0
19 Mar 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
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
87
3
0
18 Feb 2025
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
Daniel Levy
Siba Smarak Panigrahi
Sékou-Oumar Kaba
Qiang Zhu
Kin Long Kelvin Lee
Mikhail Galkin
Santiago Miret
Siamak Ravanbakhsh
83
11
0
05 Feb 2025
Text2Data: Low-Resource Data Generation with Textual Control
Text2Data: Low-Resource Data Generation with Textual Control
Shiyu Wang
Yihao Feng
Tian Lan
Ning Yu
Yu Bai
R. Xu
H. Wang
Caiming Xiong
S.
DiffM
73
0
0
03 Jan 2025
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
Zhen Liu
Tim Z. Xiao
Weiyang Liu
Yoshua Bengio
Dinghuai Zhang
115
2
0
10 Dec 2024
ArtFormer: Controllable Generation of Diverse 3D Articulated Objects
ArtFormer: Controllable Generation of Diverse 3D Articulated Objects
Jiayi Su
Youhe Feng
Zheng Li
Jinhua Song
Yangfan He
Botao Ren
Botian Xu
AI4CE
84
2
0
10 Dec 2024
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation
Zilyu Ye
Zhiyang Chen
Tiancheng Li
Zemin Huang
Weijian Luo
Guo-jun Qi
DiffM
65
4
0
02 Dec 2024
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models
Kiwoong Yoo
Owen Oertell
Junhyun Lee
Sanghoon Lee
Jaewoo Kang
26
0
0
28 Oct 2024
Bio2Token: All-atom tokenization of any biomolecular structure with Mamba
Bio2Token: All-atom tokenization of any biomolecular structure with Mamba
Andrew Liu
Axel Elaldi
Nathan Russell
Olivia Viessmann
Mamba
55
2
0
24 Oct 2024
Training Neural Samplers with Reverse Diffusive KL Divergence
Training Neural Samplers with Reverse Diffusive KL Divergence
Jiajun He
Wenlin Chen
Mingtian Zhang
David Barber
José Miguel Hernández-Lobato
DiffM
26
4
0
16 Oct 2024
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
Peter Eckmann
D. Wu
G. Heinzelmann
Michael K. Gilson
Rose Yu
AI4CE
33
0
0
15 Oct 2024
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
UniGEM: A Unified Approach to Generation and Property Prediction for Molecules
Shikun Feng
Yuyan Ni
Yan Lu
Zhi-Ming Ma
Wei-Ying Ma
Yanyan Lan
29
4
0
14 Oct 2024
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology
  Generation
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation
Félix Marcoccia
C. Adjih
P. Mühlethaler
DiffM
11
0
0
09 Oct 2024
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
Yuchen Shen
Chenhao Zhang
Sijie Fu
Chenghui Zhou
Newell Washburn
Barnabás Póczos
40
0
0
09 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song
Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
14
0
0
07 Oct 2024
Geometric Representation Condition Improves Equivariant Molecule Generation
Geometric Representation Condition Improves Equivariant Molecule Generation
Zian Li
Cai Zhou
Xiyuan Wang
Xingang Peng
Muhan Zhang
32
1
0
04 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Marcel Kollovieh
Marten Lienen
David Ludke
Leo Schwinn
Stephan Günnemann
AI4TS
BDL
DiffM
19
3
0
03 Oct 2024
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones
Gen-Swarms: Adapting Deep Generative Models to Swarms of Drones
Carlos Plou
Pablo Pueyo
Ruben Martinez-Cantin
Mac Schwager
Ana C. Murillo
Eduardo Montijano
28
0
0
28 Aug 2024
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Haorui Wang
Marta Skreta
C. Ser
Wenhao Gao
Lingkai Kong
...
Yanqiao Zhu
Yuanqi Du
Alán Aspuru-Guzik
Kirill Neklyudov
Chao Zhang
31
10
0
23 Jun 2024
Generative Topological Networks
Generative Topological Networks
Alona Levy-Jurgenson
Z. Yakhini
34
0
0
21 Jun 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models
Neural Approximate Mirror Maps for Constrained Diffusion Models
Berthy T. Feng
Ricardo Baptista
Katherine L. Bouman
MedIm
DiffM
20
3
0
18 Jun 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
David R. Wessels
David M. Knigge
Samuele Papa
Riccardo Valperga
Sharvaree P. Vadgama
E. Gavves
Erik J. Bekkers
31
7
0
09 Jun 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff
Junhao Xiong
Stephan Allenspach
Jennifer Listgarten
36
29
0
03 Jun 2024
Diffusion On Syntax Trees For Program Synthesis
Diffusion On Syntax Trees For Program Synthesis
Shreyas Kapur
Erik Jenner
Stuart J. Russell
DiffM
14
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
26
5
0
29 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
16
8
0
19 May 2024
Physics-Informed Diffusion Models
Physics-Informed Diffusion Models
Jan-Hendrik Bastek
WaiChing Sun
D. Kochmann
DiffM
AI4CE
43
10
0
21 Mar 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
Tara Akhound-Sadegh
Jarrid Rector-Brooks
A. Bose
Sarthak Mittal
Pablo Lemos
...
Siamak Ravanbakhsh
Gauthier Gidel
Yoshua Bengio
Nikolay Malkin
Alexander Tong
DiffM
21
41
0
09 Feb 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling
Reflected Schrödinger Bridge for Constrained Generative Modeling
Wei Deng
Yu Chen
Nicole Tianjiao Yang
Hengrong Du
Qi Feng
Ricky T. Q. Chen
16
7
0
06 Jan 2024
Continuous Diffusion for Mixed-Type Tabular Data
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller
Kathrin Gruber
Dennis Fok
DiffM
44
5
0
16 Dec 2023
Accelerating Inference in Molecular Diffusion Models with Latent
  Representations of Protein Structure
Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure
Ian Dunn
D. Koes
DiffM
GNN
6
3
0
22 Nov 2023
Closed-Form Diffusion Models
Closed-Form Diffusion Models
Christopher Scarvelis
Haitz Sáez de Ocáriz Borde
Justin Solomon
DiffM
86
9
0
19 Oct 2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Quanquan Gu
DiffM
42
14
0
23 Aug 2023
SE(3) Equivariant Augmented Coupling Flows
SE(3) Equivariant Augmented Coupling Flows
Laurence I. Midgley
Vincent Stimper
Javier Antorán
Emile Mathieu
Bernhard Schölkopf
José Miguel Hernández-Lobato
15
22
0
20 Aug 2023
Learned Gridification for Efficient Point Cloud Processing
Learned Gridification for Efficient Point Cloud Processing
P. A. V. D. Linden
David W. Romero
Erik J. Bekkers
3DPC
6
2
0
22 Jul 2023
Fractional Denoising for 3D Molecular Pre-training
Fractional Denoising for 3D Molecular Pre-training
Shi Feng
Yuyan Ni
Yanyan Lan
Zhiming Ma
Wei-Ying Ma
DiffM
AI4CE
22
25
0
20 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization
Enhancing Adversarial Robustness via Score-Based Optimization
Boya Zhang
Weijian Luo
Zhihua Zhang
DiffM
8
11
0
10 Jul 2023
Statistical Guarantees of Group-Invariant GANs
Statistical Guarantees of Group-Invariant GANs
Ziyu Chen
M. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
15
1
0
22 May 2023
Accurate transition state generation with an object-aware equivariant
  elementary reaction diffusion model
Accurate transition state generation with an object-aware equivariant elementary reaction diffusion model
Chenru Duan
Yuanqi Du
Haojun Jia
Heather J. Kulik
DiffM
8
44
0
12 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
20
138
0
11 Apr 2023
ChiroDiff: Modelling chirographic data with Diffusion Models
ChiroDiff: Modelling chirographic data with Diffusion Models
Ayan Das
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
DiffM
11
10
0
07 Apr 2023
Few-shot Image Generation with Diffusion Models
Few-shot Image Generation with Diffusion Models
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
DiffM
17
20
0
07 Nov 2022
Structure-based Drug Design with Equivariant Diffusion Models
Structure-based Drug Design with Equivariant Diffusion Models
Arne Schneuing
Yuanqi Du
Charles Harris
Arian R. Jamasb
Ilia Igashov
...
Pietro Lió
Carla P. Gomes
Max Welling
Michael M. Bronstein
B. Correia
DiffM
8
189
0
24 Oct 2022
Structure-based drug design with geometric deep learning
Structure-based drug design with geometric deep learning
Clemens Isert
Kenneth Atz
G. Schneider
14
104
0
19 Oct 2022
Thermal half-lives of azobenzene derivatives: virtual screening based on
  intersystem crossing using a machine learning potential
Thermal half-lives of azobenzene derivatives: virtual screening based on intersystem crossing using a machine learning potential
Simon Axelrod
E. Shakhnovich
Rafael Gómez-Bombarelli
8
20
0
23 Jul 2022
Controllable Data Generation by Deep Learning: A Review
Controllable Data Generation by Deep Learning: A Review
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
21
28
0
19 Jul 2022
Cluster Generation via Deep Energy-Based Model
Cluster Generation via Deep Energy-Based Model
A. Y. Artsukevich
S. Lepeshkin
8
0
0
17 Jun 2022
Few-Shot Diffusion Models
Few-Shot Diffusion Models
Giorgio Giannone
Didrik Nielsen
Ole Winther
DiffM
162
49
0
30 May 2022
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