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2402.07568
Cited By
Weisfeiler-Leman at the margin: When more expressivity matters
12 February 2024
Billy J. Franks
Christopher Morris
A. Velingker
Floris Geerts
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Papers citing
"Weisfeiler-Leman at the margin: When more expressivity matters"
12 / 12 papers shown
Title
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Billy Joe Franks
Moshe Eliasof
Semih Cantürk
Guy Wolf
Carola-Bibiane Schönlieb
Sophie Fellenz
Marius Kloft
AI4CE
71
0
0
10 Dec 2024
The Descriptive Complexity of Graph Neural Networks
Martin Grohe
GNN
33
14
0
08 Mar 2023
Boosting the Cycle Counting Power of Graph Neural Networks with I
2
^2
2
-GNNs
Yinan Huang
Xingang Peng
Jianzhu Ma
Muhan Zhang
76
46
0
22 Oct 2022
Affinity-Aware Graph Networks
A. Velingker
A. Sinop
Ira Ktena
Petar Velickovic
Sreenivas Gollapudi
GNN
46
15
0
23 Jun 2022
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
95
45
0
30 Jan 2022
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
120
78
0
01 Oct 2021
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
134
123
0
17 Oct 2020
The expressive power of kth-order invariant graph networks
Floris Geerts
123
37
0
23 Jul 2020
Graph Homomorphism Convolution
Hoang NT
Takanori Maehara
58
39
0
03 May 2020
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
120
284
0
01 May 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,801
0
25 Nov 2016
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