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NVDiff: Graph Generation through the Diffusion of Node Vectors

NVDiff: Graph Generation through the Diffusion of Node Vectors

19 November 2022
Xiaohui Chen
Yukun Li
Aonan Zhang
Liping Liu
    DiffM
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Papers citing "NVDiff: Graph Generation through the Diffusion of Node Vectors"

17 / 17 papers shown
Title
Incorporating Inductive Biases to Energy-based Generative Models
Incorporating Inductive Biases to Energy-based Generative Models
Yukun Li
Li-Ping Liu
52
0
0
02 May 2025
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
30
0
0
08 Apr 2025
Graph Generative Pre-trained Transformer
Xiaohui Chen
Yinkai Wang
Jiaxing He
Yuanqi Du
S. Hassoun
Xiaolin Xu
Li Liu
43
1
0
03 Jan 2025
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time
  Dynamic Graph Model
Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model
Yuxing Tian
Yiyan Qi
Aiwen Jiang
Qi Huang
Jian Guo
DiffM
28
0
0
11 Jul 2024
Enhancing Diffusion-based Point Cloud Generation with Smoothness
  Constraint
Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint
Yukun Li
Liping Liu
26
4
0
03 Apr 2024
Diffusion-based Graph Generative Methods
Diffusion-based Graph Generative Methods
Hongyang Chen
Can Xu
Lingyu Zheng
Qiang Zhang
Xuemin Lin
DiffM
MedIm
29
0
0
28 Jan 2024
EDGE++: Improved Training and Sampling of EDGE
EDGE++: Improved Training and Sampling of EDGE
Mingyang Wu
Xiaohui Chen
Liping Liu
DiffM
18
2
0
22 Oct 2023
SANGEA: Scalable and Attributed Network Generation
SANGEA: Scalable and Attributed Network Generation
Valentin Lemaire
Youssef Achenchabe
Lucas Ody
Houssem Eddine Souid
G. Aversano
Nicolas Posocco
S. Skhiri
15
2
0
27 Sep 2023
Size Matters: Large Graph Generation with HiGGs
Size Matters: Large Graph Generation with HiGGs
Alex O. Davies
Nirav Ajmeri
Telmo de Menezes e Silva Filho
39
3
0
20 Jun 2023
Efficient and Degree-Guided Graph Generation via Discrete Diffusion
  Modeling
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
Xiaohui Chen
Jiaxing He
Xuhong Han
Liping Liu
DiffM
30
47
0
06 May 2023
Modeling and design of heterogeneous hierarchical bioinspired spider web
  structures using generative deep learning and additive manufacturing
Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing
Wei Lu
Nicolas A. Lee
Markus J. Buehler
AI4CE
18
1
0
11 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for
  Molecule, Protein and Material
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Mengchun Zhang
Maryam Qamar
Taegoo Kang
Yuna Jung
Chenshuang Zhang
Sung-Ho Bae
Chaoning Zhang
DiffM
MedIm
36
44
0
04 Apr 2023
A Survey on Generative Diffusion Model
A Survey on Generative Diffusion Model
Hanqun Cao
Cheng Tan
Zhangyang Gao
Yilun Xu
Guangyong Chen
Pheng-Ann Heng
Stan Z. Li
MedIm
37
206
0
06 Sep 2022
Gransformer: Transformer-based Graph Generation
Gransformer: Transformer-based Graph Generation
Ahmad Khajenezhad
Seyed Ali Osia
Mahmood Karimian
H. Beigy
22
2
0
25 Mar 2022
On Evaluation Metrics for Graph Generative Models
On Evaluation Metrics for Graph Generative Models
Rylee Thompson
Boris Knyazev
Elahe Ghalebi
Jungtaek Kim
Graham W. Taylor
EGVM
40
41
0
24 Jan 2022
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
185
187
0
01 Feb 2021
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,340
0
12 Feb 2018
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