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On the Power of Edge Independent Graph Models

On the Power of Edge Independent Graph Models

29 October 2021
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
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Papers citing "On the Power of Edge Independent Graph Models"

12 / 12 papers shown
Title
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Tobias Bernecker
Ghalia Rehawi
Francesco Paolo Casale
Janine Knauer-Arloth
Annalisa Marsico
27
1
0
08 Aug 2024
An Optimal Transport Approach for Network Regression
An Optimal Transport Approach for Network Regression
Alex G. Zalles
Kai M. Hung
Ann E. Finneran
L. Beaudrot
César A. Uribe
24
0
0
18 Jun 2024
SteinGen: Generating Fidelitous and Diverse Graph Samples
SteinGen: Generating Fidelitous and Diverse Graph Samples
G. Reinert
Wenkai Xu
29
1
0
27 Mar 2024
On the Role of Edge Dependency in Graph Generative Models
On the Role of Edge Dependency in Graph Generative Models
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
18
1
0
06 Dec 2023
Leveraging Graph Diffusion Models for Network Refinement Tasks
Leveraging Graph Diffusion Models for Network Refinement Tasks
Puja Trivedi
Ryan A. Rossi
David Arbour
Tong Yu
Franck Dernoncourt
Sungchul Kim
Nedim Lipka
Namyong Park
Nesreen K. Ahmed
Danai Koutra
DiffM
24
0
0
29 Nov 2023
EDGE++: Improved Training and Sampling of EDGE
EDGE++: Improved Training and Sampling of EDGE
Mingyang Wu
Xiaohui Chen
Liping Liu
DiffM
13
2
0
22 Oct 2023
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
22
7
0
20 Oct 2023
HiGen: Hierarchical Graph Generative Networks
HiGen: Hierarchical Graph Generative Networks
Mahdi Karami
31
4
0
30 May 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
20
46
0
06 May 2023
Implications of sparsity and high triangle density for graph
  representation learning
Implications of sparsity and high triangle density for graph representation learning
Hannah Sansford
Alexander Modell
N. Whiteley
Patrick Rubin-Delanchy
19
1
0
27 Oct 2022
Spectral embedding and the latent geometry of multipartite networks
Spectral embedding and the latent geometry of multipartite networks
Alexander Modell
Ian Gallagher
Joshua Cape
Patrick Rubin-Delanchy
16
1
0
08 Feb 2022
A survey of statistical network models
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
120
977
0
29 Dec 2009
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