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Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

17 March 2024
Yuxuan Song
Jingjing Gong
Yanru Qu
Hao Zhou
Mingyue Zheng
Jingjing Liu
Wei-Ying Ma
ArXivPDFHTML

Papers citing "Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks"

14 / 14 papers shown
Title
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
Keyue Qiu
Yuxuan Song
Zhehuan Fan
Peidong Liu
Z. Zhang
Mingyue Zheng
Hao Zhou
Wei-Ying Ma
21
0
0
12 May 2025
UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion
Gongbo Zhang
Y. Li
Renqian Luo
Pipi Hu
Zeru Zhao
...
Maik Riechert
Li-ming Yuan
Lei Chen
Haiguang Liu
Tao Qin
DiffM
42
0
0
09 Mar 2025
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
M. Spitznagel
Jan Vaillant
J. Keuper
AI4CE
VGen
PINN
66
0
0
07 Mar 2025
Marked Temporal Bayesian Flow Point Processes
Marked Temporal Bayesian Flow Point Processes
Hui Chen
Xuhui Fan
Hengyu Liu
Longbing Cao
AI4TS
21
0
0
25 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
37
1
0
04 Oct 2024
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
Haitao Lin
Guojiang Zhao
Odin Zhang
Yufei Huang
Lirong Wu
Zicheng Liu
Siyuan Li
Cheng Tan
Zhifeng Gao
Stan Z. Li
27
2
0
16 Jun 2024
ParamReL: Learning Parameter Space Representation via Progressively
  Encoding Bayesian Flow Networks
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks
Zhangkai Wu
Xuhui Fan
Jin Li
Zhilin Zhao
Hui Chen
LongBing Cao
36
2
0
24 May 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
33
18
0
18 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
34
2
0
01 Apr 2024
Geometric Latent Diffusion Models for 3D Molecule Generation
Geometric Latent Diffusion Models for 3D Molecule Generation
Minkai Xu
Alexander Powers
R. Dror
Stefano Ermon
J. Leskovec
DiffM
AI4CE
45
131
0
02 May 2023
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
171
768
0
27 May 2022
Protein Structure and Sequence Generation with Equivariant Denoising
  Diffusion Probabilistic Models
Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
N. Anand
Tudor Achim
DiffM
183
170
0
26 May 2022
Inverse design of 3d molecular structures with conditional generative
  neural networks
Inverse design of 3d molecular structures with conditional generative neural networks
Niklas W. A. Gebauer
M. Gastegger
Stefaan S. P. Hessmann
Klaus-Robert Muller
Kristof T. Schütt
AI4CE
184
162
0
10 Sep 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
219
1,329
0
12 Feb 2018
1