Local intrinsic dimensionality measures for graphs, with applications to graph embeddings.
Milos SavicVladimir KurbalijaMilos RadovanovicPublished in: Inf. Syst. (2023)
Keyphrases
- intrinsic dimensionality
- vector space
- graph matching
- dimensionality reduction
- graph construction
- graph representation
- graph theory
- graph structure
- graph mining
- labeled graphs
- graph databases
- weighted graph
- directed graph
- noisy data
- graph data
- high dimensional
- low dimensional
- undirected graph
- high dimensional data
- pattern recognition
- similarity search
- connected graphs
- feature vectors
- feature space
- manifold learning
- data points
- singular values
- machine learning
- parameter estimation
- distance measure
- knn
- probability density
- similarity measure
- neural network