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2304.11140
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Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
21 April 2023
Matthieu Cordonnier
Nicolas Keriven
Nicolas M Tremblay
Samuel Vaiter
GNN
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Papers citing
"Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs"
8 / 8 papers shown
Title
Graph neural networks and non-commuting operators
Mauricio Velasco
Kaiying O'Hare
Bernardo Rychtenberg
Soledad Villar
GNN
31
0
0
06 Nov 2024
Generalization Bounds for Message Passing Networks on Mixture of Graphons
Sohir Maskey
Gitta Kutyniok
Ron Levie
40
4
0
04 Apr 2024
Almost Surely Asymptotically Constant Graph Neural Networks
Sam Adam-Day
Michael Benedikt
.Ismail .Ilkan Ceylan
Ben Finkelshtein
GNN
42
0
0
06 Mar 2024
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
Nicolas Keriven
Samuel Vaiter
21
8
0
24 May 2023
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Sohir Maskey
Ron Levie
Yunseok Lee
Gitta Kutyniok
GNN
73
53
0
01 Feb 2022
A Theoretical Comparison of Graph Neural Network Extensions
Pál András Papp
Roger Wattenhofer
89
45
0
30 Jan 2022
Transferability of Graph Neural Networks: an Extended Graphon Approach
Sohir Maskey
Ron Levie
Gitta Kutyniok
GNN
78
49
0
21 Sep 2021
A survey of statistical network models
Anna Goldenberg
A. Zheng
S. Fienberg
E. Airoldi
115
975
0
29 Dec 2009
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