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A Manifold Perspective on the Statistical Generalization of Graph Neural
  Networks

A Manifold Perspective on the Statistical Generalization of Graph Neural Networks

7 June 2024
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
    AI4CE
    GNN
ArXivPDFHTML

Papers citing "A Manifold Perspective on the Statistical Generalization of Graph Neural Networks"

12 / 12 papers shown
Title
Graph Representational Learning: When Does More Expressivity Hurt Generalization?
Graph Representational Learning: When Does More Expressivity Hurt Generalization?
Sohir Maskey
Raffaele Paolino
Fabian Jogl
Gitta Kutyniok
Johannes F. Lutzeyer
22
0
0
16 May 2025
Improved Image Classification with Manifold Neural Networks
Improved Image Classification with Manifold Neural Networks
Caio F. Deberaldini Netto
Zhiyang Wang
Luana Ruiz
AI4CE
30
0
0
19 Sep 2024
Generalization of Geometric Graph Neural Networks
Generalization of Geometric Graph Neural Networks
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
35
2
0
08 Sep 2024
Generalization of Graph Neural Networks is Robust to Model Mismatch
Generalization of Graph Neural Networks is Robust to Model Mismatch
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
45
1
0
25 Aug 2024
Distributed Training of Large Graph Neural Networks with Variable
  Communication Rates
Distributed Training of Large Graph Neural Networks with Variable Communication Rates
J. Cerviño
Md Asadullah Turja
Hesham Mostafa
N. Himayat
Alejandro Ribeiro
GNN
AI4CE
57
0
0
25 Jun 2024
Convolutional Neural Networks on Manifolds: From Graphs and Back
Convolutional Neural Networks on Manifolds: From Graphs and Back
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
3DPC
GNN
40
14
0
01 Oct 2022
Generalization Analysis of Message Passing Neural Networks on Large
  Random Graphs
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Sohir Maskey
Ron Levie
Yunseok Lee
Gitta Kutyniok
GNN
83
54
0
01 Feb 2022
Transferability of Graph Neural Networks: an Extended Graphon Approach
Transferability of Graph Neural Networks: an Extended Graphon Approach
Sohir Maskey
Ron Levie
Gitta Kutyniok
GNN
91
50
0
21 Sep 2021
From Local Structures to Size Generalization in Graph Neural Networks
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
172
123
0
17 Oct 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
171
738
0
02 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
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
259
3,239
0
24 Nov 2016
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