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SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits
  of One-shot Graph Generators

SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators

4 April 2022
Karolis Martinkus
Andreas Loukas
Nathanael Perraudin
Roger Wattenhofer
ArXivPDFHTML

Papers citing "SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators"

14 / 14 papers shown
Title
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
HOG-Diff: Higher-Order Guided Diffusion for Graph Generation
Yiming Huang
Tolga Birdal
DiffM
70
0
0
06 Feb 2025
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology
  Generation
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation
Félix Marcoccia
C. Adjih
P. Mühlethaler
DiffM
11
0
0
09 Oct 2024
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
Kaizhi Zheng
Xiaotong Chen
Xuehai He
Jing Gu
Linjie Li
Zhengyuan Yang
Kevin Qinghong Lin
Jianfeng Wang
Lijuan Wang
Xin Eric Wang
KELM
DiffM
23
0
0
03 Oct 2024
Challenges of Generating Structurally Diverse Graphs
Challenges of Generating Structurally Diverse Graphs
Fedor Velikonivtsev
Mikhail Mironov
Liudmila Prokhorenkova
14
3
0
27 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
16
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
16
8
0
19 May 2024
Graph Distillation with Eigenbasis Matching
Graph Distillation with Eigenbasis Matching
Yang Liu
Deyu Bo
Chuan Shi
DD
20
9
0
13 Oct 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
19
3
0
20 Jun 2023
E(n)-equivariant Graph Neural Cellular Automata
E(n)-equivariant Graph Neural Cellular Automata
G. Gala
Daniele Grattarola
Erik Quaeghebeur
GNN
21
3
0
25 Jan 2023
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
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
181
878
0
07 Jun 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
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
A survey of statistical network models
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
112
975
0
29 Dec 2009
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