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2406.02269
Cited By
Graph Neural Networks Do Not Always Oversmooth
4 June 2024
Bastian Epping
Alexandre René
M. Helias
Michael T. Schaub
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Papers citing
"Graph Neural Networks Do Not Always Oversmooth"
3 / 3 papers shown
Title
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
Michela Lapenna
Caterina De Bacco
277
1
0
13 Jun 2025
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
Adrian Arnaiz-Rodriguez
Federico Errica
AI4CE
284
7
0
21 May 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Alvaro Arroyo
Alessio Gravina
Benjamin Gutteridge
Federico Barbero
Claudio Gallicchio
Xiaowen Dong
Michael M. Bronstein
P. Vandergheynst
273
29
0
15 Feb 2025
1