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On the approximation capability of GNNs in node classification/regression tasks
16 June 2021
Giuseppe Alessio D’Inverno
Monica Bianchini
M. Sampoli
F. Scarselli
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Papers citing
"On the approximation capability of GNNs in node classification/regression tasks"
20 / 20 papers shown
Title
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
Giuseppe Alessio DÍnverno
Saeid Moradizadeh
Sajad Salavatidezfouli
Pasquale Claudio Africa
G. Rozza
AI4CE
89
0
0
04 Oct 2024
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
Giovanni Luca Marchetti
Gabriele Cesa
Kumar Pratik
Arash Behboodi
140
2
0
14 Nov 2023
Generalization Limits of Graph Neural Networks in Identity Effects Learning
Giuseppe Alessio D’Inverno
Simone Brugiapaglia
Mirco Ravanelli
65
3
0
30 Jun 2023
Nested Graph Neural Networks
Muhan Zhang
Pan Li
83
169
0
25 Oct 2021
Invariance, encodings, and generalization: learning identity effects with neural networks
Simone Brugiapaglia
Matthew Liu
P. Tupper
OOD
61
4
0
21 Jan 2021
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas
Fabrizio Frasca
Stefanos Zafeiriou
M. Bronstein
127
438
0
16 Jun 2020
Global Attention Improves Graph Networks Generalization
Omri Puny
Heli Ben-Hamu
Y. Lipman
52
22
0
14 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon
Eran Yahav
GNN
105
695
0
09 Jun 2020
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
346
173
0
09 Mar 2020
Generalization and Representational Limits of Graph Neural Networks
Vikas Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
103
314
0
14 Feb 2020
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
AAML
76
240
0
08 Feb 2020
What graph neural networks cannot learn: depth vs width
Andreas Loukas
GNN
86
301
0
06 Jul 2019
Provably Powerful Graph Networks
Haggai Maron
Heli Ben-Hamu
Hadar Serviansky
Y. Lipman
133
582
0
27 May 2019
Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven
Gabriel Peyré
196
294
0
13 May 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
791
8,579
0
03 Jan 2019
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
194
1,645
0
04 Oct 2018
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
257
7,705
0
01 Oct 2018
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
769
3,131
0
04 Jun 2018
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
347
3,288
0
17 Nov 2015
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
233
4,884
0
21 Dec 2013
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