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Fine-grained Expressivity of Graph Neural Networks
v1v2 (latest)

Fine-grained Expressivity of Graph Neural Networks

6 June 2023
Jan Böker
Ron Levie
Ningyuan Huang
Soledad Villar
Christopher Morris
ArXiv (abs)PDFHTML

Papers citing "Fine-grained Expressivity of Graph Neural Networks"

5 / 5 papers shown
Title
WILTing Trees: Interpreting the Distance Between MPNN Embeddings
WILTing Trees: Interpreting the Distance Between MPNN Embeddings
Masahiro Negishi
Thomas Gärtner
Pascal Welke
OT
28
0
0
30 May 2025
On the Hölder Stability of Multiset and Graph Neural Networks
On the Hölder Stability of Multiset and Graph Neural Networks
Yair Davidson
Nadav Dym
179
2
0
11 Jun 2024
Contextualized Messages Boost Graph Representations
Contextualized Messages Boost Graph Representations
Brian Godwin Lim
Galvin Brice Lim
Renzo Roel Tan
Kazushi Ikeda
AI4CE
154
2
0
19 Mar 2024
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
Matthieu Cordonnier
Nicolas Keriven
Nicolas M Tremblay
Samuel Vaiter
GNN
162
8
0
21 Apr 2023
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs
Luana Ruiz
Ningyuan Huang
Soledad Villar
85
5
0
06 Nov 2022
1