Eigenvalues and Spectral Dimension of Random Geometric Graphs in Thermodynamic Regime.
Konstantin AvrachenkovLaura CottatellucciMounia HamidouchePublished in: CoRR (2019)
Keyphrases
- laplacian matrix
- spectral decomposition
- spectral methods
- covariance matrix
- graph theoretical
- graph laplacian
- adjacency matrix
- heat kernel
- graph theory
- graph mining
- graph representation
- geometric structure
- graph matching
- geometric information
- spectral analysis
- graph kernels
- spectral clustering
- experimental data
- eigenvalues and eigenvectors
- low dimensional
- principal components
- graph theoretic
- laplace beltrami
- topological information
- graph partitioning
- directed graph
- principal component analysis