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VC dimension of Graph Neural Networks with Pfaffian activation functions
v1v2 (latest)

VC dimension of Graph Neural Networks with Pfaffian activation functions

Neural Networks (NN), 2024
22 January 2024
Giuseppe Alessio D’Inverno
Monica Bianchini
F. Scarselli
    GNN
ArXiv (abs)PDFHTML

Papers citing "VC dimension of Graph Neural Networks with Pfaffian activation functions"

3 / 3 papers shown
Title
Rademacher Meets Colors: More Expressivity, but at What Cost ?
Rademacher Meets Colors: More Expressivity, but at What Cost ?
Martin Carrasco
Caio Deberaldini Netto
Vahan A. Martirosyan
Aneeqa Mehrab
Ehimare Okoyomon
Caterina Graziani
235
0
0
11 Oct 2025
Understanding Generalization in Node and Link Prediction
Understanding Generalization in Node and Link Prediction
Antonis Vasileiou
Timo Stoll
Christopher Morris
AI4CE
244
0
0
01 Jul 2025
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk PredictionJournal of Computational and Applied Mathematics (JCAM), 2024
Giuseppe Alessio DÍnverno
Saeid Moradizadeh
Sajad Salavatidezfouli
Pasquale Claudio Africa
G. Rozza
AI4CE
310
5
0
04 Oct 2024
1