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MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation

MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation

17 February 2023
Clément Vignac
Nagham Osman
Laura Toni
P. Frossard
    DiffM
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Papers citing "MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation"

49 / 49 papers shown
Title
Pharmacophore-Conditioned Diffusion Model for Ligand-Based De Novo Drug Design
Pharmacophore-Conditioned Diffusion Model for Ligand-Based De Novo Drug Design
Amira Alakhdar
Barnabás Póczos
Newell Washburn
19
0
0
15 May 2025
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
118
0
0
30 Apr 2025
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation
Cong Liu
Sharvaree P. Vadgama
David Ruhe
Erik J Bekkers
Patrick Forré
DiffM
22
0
0
22 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
35
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
64
0
0
19 Mar 2025
A Reinforcement Learning-Driven Transformer GAN for Molecular Generation
A Reinforcement Learning-Driven Transformer GAN for Molecular Generation
Chen Li
Huidong Tang
Ye Zhu
Yoshihiro Yamanishi
AI4CE
41
0
0
17 Mar 2025
Straight-Line Diffusion Model for Efficient 3D Molecular Generation
Yuyan Ni
Shikun Feng
Haohan Chi
Bowen Zheng
Huan-ang Gao
Wei-Ying Ma
Zhi-Ming Ma
Yanyan Lan
DiffM
71
2
0
04 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
100
3
0
18 Feb 2025
Score-based 3D molecule generation with neural fields
Score-based 3D molecule generation with neural fields
Matthieu Kirchmeyer
Pedro H. O. Pinheiro
Saeed Saremi
DiffM
45
0
0
15 Jan 2025
Unified Guidance for Geometry-Conditioned Molecular Generation
Unified Guidance for Geometry-Conditioned Molecular Generation
Sirine Ayadi
Leon Hetzel
Johanna Sommer
Fabian J. Theis
Stephan Günnemann
30
0
0
05 Jan 2025
Exploring Discrete Flow Matching for 3D De Novo Molecule Generation
Exploring Discrete Flow Matching for 3D De Novo Molecule Generation
Ian Dunn
D. Koes
92
4
0
25 Nov 2024
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
Mufei Li
Viraj Shitole
Eli Chien
Changhai Man
Zhaodong Wang
Srinivas Sridharan
Ying Zhang
Tushar Krishna
P. Li
37
0
0
04 Nov 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
38
5
0
14 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
45
1
0
04 Oct 2024
Geometry Informed Tokenization of Molecules for Language Model
  Generation
Geometry Informed Tokenization of Molecules for Language Model Generation
Xiner Li
Limei Wang
Youzhi Luo
Carl N. Edwards
Shurui Gui
Yuchao Lin
Heng Ji
Shuiwang Ji
29
6
0
19 Aug 2024
3D Vessel Graph Generation Using Denoising Diffusion
3D Vessel Graph Generation Using Denoising Diffusion
Chinmay Prabhakar
Suprosanna Shit
Fabio Musio
Kaiyuan Yang
Tamaz Amiranashvili
Johannes C. Paetzold
Hongwei Bran Li
Bjoern H. Menze
DiffM
MedIm
52
2
0
08 Jul 2024
NEBULA: Neural Empirical Bayes Under Latent Representations for
  Efficient and Controllable Design of Molecular Libraries
NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries
E. Nowara
Pedro H. O. Pinheiro
Sai Pooja Mahajan
Omar Mahmood
Andrew Watkins
Saeed Saremi
Michael R. Maser
BDL
DiffM
40
2
0
03 Jul 2024
Generative Modelling of Structurally Constrained Graphs
Generative Modelling of Structurally Constrained Graphs
Manuel Madeira
Clément Vignac
D. Thanou
Pascal Frossard
DiffM
51
0
0
25 Jun 2024
Cometh: A continuous-time discrete-state graph diffusion model
Cometh: A continuous-time discrete-state graph diffusion model
Antoine Siraudin
Fragkiskos D. Malliaros
Christopher Morris
31
3
0
10 Jun 2024
Response Matching for generating materials and molecules
Response Matching for generating materials and molecules
Bingqing Cheng
DiffM
27
1
0
15 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
34
8
0
07 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
BDL
DiffM
44
11
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 Li
40
2
0
22 Apr 2024
Zero Shot Molecular Generation via Similarity Kernels
Zero Shot Molecular Generation via Similarity Kernels
Rokas Elijosius
Fabian Zills
Ilyes Batatia
Sam Walton Norwood
D. P. Kovács
Christian Holm
Gábor Csányi
DiffM
41
3
0
13 Feb 2024
A Survey of Generative AI for de novo Drug Design: New Frontiers in
  Molecule and Protein Generation
A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation
Xiangru Tang
Howard Dai
Elizabeth Knight
Fang Wu
Yunyang Li
Tianxiao Li
Mark B. Gerstein
19
25
0
13 Feb 2024
Diffusion-based Graph Generative Methods
Diffusion-based Graph Generative Methods
Hongyang Chen
Can Xu
Lingyu Zheng
Qiang Zhang
Xuemin Lin
DiffM
MedIm
26
0
0
28 Jan 2024
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule
  Generation
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
Can Xu
Haosen Wang
Weigang Wang
Pengfei Zheng
Hongyang Chen
DiffM
41
7
0
05 Jan 2024
Efficient and Scalable Graph Generation through Iterative Local
  Expansion
Efficient and Scalable Graph Generation through Iterative Local Expansion
Andreas Bergmeister
Karolis Martinkus
Nathanael Perraudin
Roger Wattenhofer
21
12
0
14 Dec 2023
STRIDE: Structure-guided Generation for Inverse Design of Molecules
STRIDE: Structure-guided Generation for Inverse Design of Molecules
Shehtab Zaman
D. Akhiyarov
Mauricio Araya-Polo
Kenneth Chiu
21
1
0
06 Nov 2023
Sparse Training of Discrete Diffusion Models for Graph Generation
Sparse Training of Discrete Diffusion Models for Graph Generation
Yiming Qin
Clément Vignac
Pascal Frossard
19
12
0
03 Nov 2023
Reflection-Equivariant Diffusion for 3D Structure Determination from
  Isotopologue Rotational Spectra in Natural Abundance
Reflection-Equivariant Diffusion for 3D Structure Determination from Isotopologue Rotational Spectra in Natural Abundance
Austin H. Cheng
Alston Lo
Santiago Miret
Brooks H Pate
Alán Aspuru-Guzik
26
6
0
17 Oct 2023
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and
  Binding Site Design
Harmonic Self-Conditioned Flow Matching for Multi-Ligand Docking and Binding Site Design
Hannes Stärk
Bowen Jing
Regina Barzilay
Tommi Jaakkola
31
25
0
09 Oct 2023
Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in
  Position-Orientation Space
Fast, Expressive SE(n)(n)(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space
Erik J. Bekkers
Sharvaree P. Vadgama
Rob D. Hesselink
P. A. V. D. Linden
David W. Romero
13
24
0
04 Oct 2023
Navigating the Design Space of Equivariant Diffusion-Based Generative
  Models for De Novo 3D Molecule Generation
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
Tuan Le
Julian Cremer
Frank Noé
Djork-Arné Clevert
Kristof T. Schütt
DiffM
27
25
0
29 Sep 2023
3D molecule generation by denoising voxel grids
3D molecule generation by denoising voxel grids
Pedro H. O. Pinheiro
Joshua Rackers
J. Kleinhenz
Michael R. Maser
Omar Mahmood
Andrew Watkins
Stephen Ra
Vishnu Sresht
Saeed Saremi
DiffM
34
20
0
13 Jun 2023
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule
  Diffusion Generation
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
Xingang Peng
Jiaqi Guan
Qiang Liu
Jianzhu Ma
DiffM
33
43
0
11 May 2023
MUDiff: Unified Diffusion for Complete Molecule Generation
MUDiff: Unified Diffusion for Complete Molecule Generation
Chenqing Hua
Sitao Luan
Minkai Xu
Rex Ying
Jie Fu
Stefano Ermon
Doina Precup
DiffM
47
34
0
28 Apr 2023
SILVR: Guided Diffusion for Molecule Generation
SILVR: Guided Diffusion for Molecule Generation
Nicholas T. Runcie
A. Mey
19
16
0
21 Apr 2023
An Equivariant Generative Framework for Molecular Graph-Structure
  Co-Design
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design
Zaixin Zhang
Qi Liu
Cheekong Lee
Chang-Yu Hsieh
Enhong Chen
15
18
0
12 Apr 2023
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization
Alex Morehead
Jianlin Cheng
DiffM
14
22
0
08 Feb 2023
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso
Hannes Stärk
Bowen Jing
Regina Barzilay
Tommi Jaakkola
DiffM
139
409
0
04 Oct 2022
Diffusion Models for Graphs Benefit From Discrete State Spaces
Diffusion Models for Graphs Benefit From Discrete State Spaces
K. Haefeli
Karolis Martinkus
Nathanael Perraudin
Roger Wattenhofer
DiffM
85
52
0
04 Oct 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design
Equivariant Energy-Guided SDE for Inverse Molecular Design
Fan Bao
Min Zhao
Zhongkai Hao
Pei‐Yun Li
Chongxuan Li
Jun Zhu
DiffM
187
63
0
30 Sep 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic
  Graphs
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao
Tess E. Smidt
80
213
0
23 Jun 2022
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
117
302
0
07 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability
Top-N: Equivariant set and graph generation without exchangeability
Clément Vignac
P. Frossard
BDL
63
34
0
05 Oct 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
207
394
0
10 Feb 2021
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
169
1,775
0
02 Mar 2017
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
144
7,335
0
05 Jun 2015
1