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On the expressive power of message-passing neural networks as global feature map transformers

On the expressive power of message-passing neural networks as global feature map transformers

Floris Geerts
Jasper Steegmans
Jan Van den Bussche
ArXiv (abs)PDFHTML

Papers citing "On the expressive power of message-passing neural networks as global feature map transformers"

4 / 4 papers shown
Title
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
218
26
0
16 Aug 2023
Expressiveness and Approximation Properties of Graph Neural Networks
Expressiveness and Approximation Properties of Graph Neural Networks
Floris Geerts
Juan L. Reutter
68
66
0
10 Apr 2022
The Logic of Graph Neural Networks
The Logic of Graph Neural Networks
Martin Grohe
AI4CE
56
92
0
29 Apr 2021
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,500
0
04 Apr 2017

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