Directed Graph Embeddings in Pseudo-Riemannian Manifolds.
Aaron SimMaciej WiatrakAngus BraynePáidí CreedSaee PaliwalPublished in: ICML (2021)
Keyphrases
- directed graph
- riemannian manifolds
- euclidean space
- vector space
- manifold learning
- random walk
- low dimensional
- geodesic distance
- shape analysis
- dimensionality reduction
- mean shift
- metric space
- data points
- strongly connected
- euclidean distance
- multi class classification
- directed edges
- feature vectors
- covariance matrices
- reproducing kernel hilbert space
- parameter space
- markov chain
- feature space