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State of Geometric Deep Learning | Report | ScienceToStartup
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Geometric Deep Learning
State of Geometric Deep Learning
4 papers · avg viability 5.0
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Top papers
A2Z-10M+: Geometric Deep Learning with A-to-Z BRep Annotations for AI-Assisted CAD Modeling and Reverse Engineering
(7.0)
RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs
(6.0)
PolyNODE: Variable-dimension Neural ODEs on M-polyfolds
(5.0)
Spectral Convolution on Orbifolds for Geometric Deep Learning
(2.0)