A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds.
Ilyes BatatiaPublished in: CoRR (2023)
Keyphrases
- message passing
- riemannian manifolds
- neural network
- geometric structure
- belief propagation
- euclidean space
- distributed systems
- markov random field
- mean shift
- vector space
- feature space
- manifold learning
- multi class classification
- parameter space
- geodesic distance
- graphical models
- covariance matrix
- graph cuts
- higher order
- covariance matrices
- computer vision
- machine learning