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Diffusion Models for Graphs Benefit From Discrete State Spaces

Diffusion Models for Graphs Benefit From Discrete State Spaces

4 October 2022
K. Haefeli
Karolis Martinkus
Nathanael Perraudin
Roger Wattenhofer
    DiffM
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Papers citing "Diffusion Models for Graphs Benefit From Discrete State Spaces"

3 / 3 papers shown
Title
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffM
GNN
51
0
0
16 Mar 2025
Top-N: Equivariant set and graph generation without exchangeability
Top-N: Equivariant set and graph generation without exchangeability
Clément Vignac
P. Frossard
BDL
42
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
188
392
0
10 Feb 2021
1