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Efficient and Degree-Guided Graph Generation via Discrete Diffusion
  Modeling

Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

6 May 2023
Xiaohui Chen
Jiaxing He
Xuhong Han
Liping Liu
    DiffM
ArXivPDFHTML

Papers citing "Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling"

12 / 12 papers shown
Title
Diffusion Models in Recommendation Systems: A Survey
Diffusion Models in Recommendation Systems: A Survey
Ting-Ruen Wei
Yi Fang
77
2
0
20 Feb 2025
Graph Representation Learning with Diffusion Generative Models
Graph Representation Learning with Diffusion Generative Models
Daniel Wesego
DiffM
41
0
0
22 Jan 2025
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
30
0
0
04 Nov 2024
EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender
  Systems Graphs
EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs
Utkarsh Priyam
Hemit Shah
Edoardo Botta
DiffM
23
1
0
23 Sep 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
29
3
0
10 Jun 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
32
8
0
19 May 2024
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
Mufei Li
Eleonora Kreacic
Vamsi K. Potluru
Pan Li
DiffM
27
7
0
20 Oct 2023
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
83
51
0
04 Oct 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
35
41
0
24 Jan 2022
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
202
394
0
10 Feb 2021
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
170
170
0
09 Mar 2020
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
169
633
0
29 Nov 2018
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