Embedding graphs in Euclidean space.
Nóra FranklAndrey KupavskiiKonrad J. SwanepoelPublished in: J. Comb. Theory, Ser. A (2020)
Keyphrases
- euclidean space
- vector space
- embedding space
- pairwise distances
- graph embedding
- low dimensional
- multi dimensional scaling
- geodesic distance
- shape analysis
- riemannian manifolds
- laplacian eigenmaps
- euclidean distance
- metric space
- nonlinear dimensionality reduction
- data points
- high dimensional
- dimensional euclidean space
- dimensionality reduction
- constant curvature
- quadratic form
- fisher information
- weighted graph
- multidimensional scaling
- feature selection
- principal component analysis
- feature vectors
- lie group
- high dimensional data
- pairwise
- feature space