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Generalization Bounds for Message Passing Networks on Mixture of
  Graphons

Generalization Bounds for Message Passing Networks on Mixture of Graphons

4 April 2024
Sohir Maskey
Gitta Kutyniok
Ron Levie
ArXivPDFHTML

Papers citing "Generalization Bounds for Message Passing Networks on Mixture of Graphons"

18 / 18 papers shown
Title
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Matthieu Cordonnier
Nicolas Keriven
Nicolas M Tremblay
Samuel Vaiter
GNN
97
8
0
21 Apr 2023
Convergence of Invariant Graph Networks
Convergence of Invariant Graph Networks
Chen Cai
Yusu Wang
75
4
0
25 Jan 2022
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural
  Networks
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
Renjie Liao
R. Urtasun
R. Zemel
55
90
0
14 Dec 2020
On the Stability of Graph Convolutional Neural Networks under Edge
  Rewiring
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring
Henry Kenlay
D. Thanou
Xiaowen Dong
48
31
0
26 Oct 2020
Graph Neural Networks: Architectures, Stability and Transferability
Graph Neural Networks: Architectures, Stability and Transferability
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
113
127
0
04 Aug 2020
Graphon Neural Networks and the Transferability of Graph Neural Networks
Graphon Neural Networks and the Transferability of Graph Neural Networks
Luana Ruiz
Luiz F. O. Chamon
Alejandro Ribeiro
GNN
66
145
0
05 Jun 2020
Convergence and Stability of Graph Convolutional Networks on Large
  Random Graphs
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
Nicolas Keriven
A. Bietti
Samuel Vaiter
GNN
61
86
0
02 Jun 2020
Generalization and Representational Limits of Graph Neural Networks
Generalization and Representational Limits of Graph Neural Networks
Vikas Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
94
313
0
14 Feb 2020
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
105
128
0
30 Jul 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters
Hoang NT
Takanori Maehara
GNN
119
432
0
23 May 2019
Stability Properties of Graph Neural Networks
Stability Properties of Graph Neural Networks
Fernando Gama
Joan Bruna
Alejandro Ribeiro
65
232
0
11 May 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
223
4,339
0
06 Mar 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
192
1,634
0
04 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
238
7,642
0
01 Oct 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNN
SSL
184
2,826
0
22 Jan 2018
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
503
15,232
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
593
7,443
0
04 Apr 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
805
3,281
0
24 Nov 2016
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