Heterogeneous manifolds for curvature-aware graph embedding.
Francesco Di GiovanniGiulia LuiseMichael M. BronsteinPublished in: CoRR (2022)
Keyphrases
- graph embedding
- low dimensional
- embedding space
- manifold learning
- dimensionality reduction
- semi supervised
- high dimensional
- discriminant analysis
- discriminant embedding
- high dimensional data
- data representation
- multiscale
- feature representation
- subspace learning
- manifold structure
- principal component analysis
- euclidean space
- nearest neighbor
- dimension reduction
- signal processing
- image processing
- image features
- active learning
- dictionary learning
- feature space
- reinforcement learning