Directed Graph Embeddings in Pseudo-Riemannian Manifolds.
Aaron SimMaciej WiatrakAngus BraynePáidí CreedSaee PaliwalPublished in: CoRR (2021)
Keyphrases
- directed graph
- riemannian manifolds
- euclidean space
- vector space
- manifold learning
- random walk
- low dimensional
- shape analysis
- metric space
- data points
- geodesic distance
- distance measure
- similarity search
- geometric structure
- euclidean distance
- undirected graph
- mean shift
- dimensionality reduction
- sparse representation
- visual data
- reproducing kernel hilbert space