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2003.04078
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A Survey on The Expressive Power of Graph Neural Networks
9 March 2020
Ryoma Sato
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Papers citing
"A Survey on The Expressive Power of Graph Neural Networks"
10 / 110 papers shown
Title
The expressive power of kth-order invariant graph networks
Floris Geerts
217
39
0
23 Jul 2020
Building powerful and equivariant graph neural networks with structural message-passing
Neural Information Processing Systems (NeurIPS), 2025
Clément Vignac
Andreas Loukas
P. Frossard
198
130
0
26 Jun 2020
Walk Message Passing Neural Networks and Second-Order Graph Neural Networks
Floris Geerts
114
8
0
16 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas
Fabrizio Frasca
Stefanos Zafeiriou
M. Bronstein
222
472
0
16 Jun 2020
How hard is to distinguish graphs with graph neural networks?
Andreas Loukas
GNN
139
6
0
13 May 2020
Principal Neighbourhood Aggregation for Graph Nets
Gabriele Corso
Luca Cavalleri
Dominique Beaini
Pietro Lio
Petar Velickovic
GNN
377
724
0
12 Apr 2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts
Filip Mazowiecki
Guillermo A. Pérez
GNN
149
38
0
06 Apr 2020
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luís C. Lamb
Artur S. dÁvila Garcez
Marco Gori
Marcelo O. R. Prates
Pedro H. C. Avelar
Moshe Y. Vardi
NAI
AI4CE
209
91
0
29 Feb 2020
Generalization and Representational Limits of Graph Neural Networks
Vikas Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
164
334
0
14 Feb 2020
Can Graph Neural Networks Count Substructures?
Neural Information Processing Systems (NeurIPS), 2025
Zhengdao Chen
Lei Chen
Soledad Villar
Joan Bruna
GNN
267
342
0
10 Feb 2020
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