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Julian Suk — most-cited papers & profile · Graph Learning
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overview
Julian Suk
5
papers ·
7
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
SE(3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets
2023
SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks
2023
Physics-informed graph neural networks for flow field estimation in carotid arteries
2024
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
2024
Top co-authors
Christoph Brune
· 3
Dieuwertje Alblas
· 2
Jelmer M. Wolterink
· 2
Albert Wiegman
· 1
Alessandro Salatiello
· 1
Alexander Nikitin
· 1
Alexander Weers
· 1
Alexis Molina
· 1
Alvaro Martinez
· 1
Andrea Cavallo
· 1
Andrei Irimia
· 1
Audun Myers
· 1
Topics
cs.LG
physics.flu-dyn
math.GR
cs.CV
q-bio.QM
cs.AI