Geometric Deep Learning Comparison Hub
3 papers - avg viability 4.3
Top Papers
- RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs(6.0)
Developing a novel geometric deep learning model to enhance EEG data representation through dynamic graph-based SPD manifold methods.
- PolyNODE: Variable-dimension Neural ODEs on M-polyfolds(5.0)
PolyNODEs extend Neural ODEs to variable dimensions using M-polyfolds for enhanced AI modeling.
- Spectral Convolution on Orbifolds for Geometric Deep Learning(2.0)
Presents spectral convolution on orbifolds as a building block for geometric deep learning applications.