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2105.13099
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On the Universality of Graph Neural Networks on Large Random Graphs
27 May 2021
Nicolas Keriven
A. Bietti
Samuel Vaiter
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Papers citing
"On the Universality of Graph Neural Networks on Large Random Graphs"
31 / 31 papers shown
Title
Optimality of Message-Passing Architectures for Sparse Graphs
Aseem Baranwal
Kimon Fountoulakis
Aukosh Jagannath
147
11
0
10 Jan 2025
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Matthieu Cordonnier
Nicolas Keriven
Nicolas M Tremblay
Samuel Vaiter
GNN
82
8
0
21 Apr 2023
The Surprising Power of Graph Neural Networks with Random Node Initialization
Ralph Abboud
.Ismail .Ilkan Ceylan
Martin Grohe
Thomas Lukasiewicz
80
221
0
02 Oct 2020
A Functional Perspective on Learning Symmetric Functions with Neural Networks
Aaron Zweig
Joan Bruna
25
22
0
16 Aug 2020
The expressive power of kth-order invariant graph networks
Floris Geerts
142
37
0
23 Jul 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
GNN
63
145
0
05 Jun 2020
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
Nicolas Keriven
A. Bietti
Samuel Vaiter
GNN
47
86
0
02 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
277
2,725
0
02 May 2020
Generalization and Representational Limits of Graph Neural Networks
Vikas Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
94
312
0
14 Feb 2020
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version
Abram Magner
Mayank Baranwal
Alfred Hero
GNN
19
13
0
13 Feb 2020
Can Graph Neural Networks Count Substructures?
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
109
324
0
10 Feb 2020
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
AAML
65
237
0
08 Feb 2020
Coloring graph neural networks for node disambiguation
George Dasoulas
Ludovic Dos Santos
Kevin Scaman
Aladin Virmaux
65
82
0
12 Dec 2019
Latent Distance Estimation for Random Geometric Graphs
Ernesto Araya Valdivia
Yohann De Castro
OT
42
23
0
15 Sep 2019
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
93
128
0
30 Jul 2019
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy
Albert-László Barabási
Rose Yu
GNN
95
134
0
11 Jul 2019
What graph neural networks cannot learn: depth vs width
Andreas Loukas
GNN
82
299
0
06 Jul 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs
Zhengdao Chen
Soledad Villar
Lei Chen
Joan Bruna
78
281
0
29 May 2019
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
100
578
0
27 May 2019
Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven
Gabriel Peyré
152
292
0
13 May 2019
Graph Wavelet Neural Network
Bingbing Xu
Huawei Shen
Qi Cao
Yunqi Qiu
Xueqi Cheng
GNN
63
330
0
12 Apr 2019
On the Universality of Invariant Networks
Haggai Maron
Ethan Fetaya
Nimrod Segol
Y. Lipman
OOD
135
238
0
27 Jan 2019
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
577
8,496
0
03 Jan 2019
Stochastic Deep Networks
Gwendoline de Bie
Gabriel Peyré
Marco Cuturi
61
21
0
19 Nov 2018
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
214
7,623
0
01 Oct 2018
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
466
7,431
0
04 Apr 2017
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
331
2,459
0
10 Mar 2017
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
697
3,274
0
24 Nov 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
310
7,646
0
30 Jun 2016
Consistency of spectral clustering in stochastic block models
Jing Lei
Alessandro Rinaldo
164
606
0
07 Dec 2013
Consistency of spectral clustering
U. V. Luxburg
M. Belkin
Olivier Bousquet
146
417
0
04 Apr 2008
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