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Discrete-state Continuous-time Diffusion for Graph Generation

Discrete-state Continuous-time Diffusion for Graph Generation

19 May 2024
Zhe Xu
Ruizhong Qiu
Yuzhong Chen
Huiyuan Chen
Xiran Fan
Menghai Pan
Zhichen Zeng
Mahashweta Das
Hanghang Tong
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Papers citing "Discrete-state Continuous-time Diffusion for Graph Generation"

14 / 14 papers shown
Title
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation
Peizhi Niu
Yu-Hsiang Wang
Vishal Rana
Chetan Rupakheti
Abhishek Pandey
O. Milenkovic
21
0
0
08 Apr 2025
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs
Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs
Yoann Boget
Alexandros Kalousis
DiffM
51
0
0
27 Mar 2025
Backdoor Attacks on Discrete Graph Diffusion Models
Jiawen Wang
Samin Karim
Yuan Hong
Binghui Wang
DiffM
49
0
0
08 Mar 2025
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
Ruizhong Qiu
Weiliang Will Zeng
Hanghang Tong
James Ezick
Christopher Lott
82
15
0
20 Feb 2025
Graph Generative Pre-trained Transformer
Xiaohui Chen
Yinkai Wang
Jiaxing He
Yuanqi Du
S. Hassoun
Xiaolin Xu
Li Liu
31
1
0
03 Jan 2025
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Ruizhong Qiu
Hanghang Tong
27
3
0
27 May 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
39
131
0
02 May 2023
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
162
62
0
30 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
208
1,277
0
02 Sep 2022
A Continuous Time Framework for Discrete Denoising Models
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
172
132
0
30 May 2022
Top-N: Equivariant set and graph generation without exchangeability
Top-N: Equivariant set and graph generation without exchangeability
Clément Vignac
P. Frossard
BDL
50
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
191
392
0
10 Feb 2021
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
151
628
0
29 Nov 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
208
1,205
0
12 Feb 2018
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