Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings.
Milos SavicVladimir KurbalijaMilos RadovanovicPublished in: CoRR (2022)
Keyphrases
- intrinsic dimensionality
- vector space
- graph matching
- dimensionality reduction
- graph construction
- graph representation
- graph theory
- weighted graph
- graph mining
- graph databases
- graph structure
- directed graph
- labeled graphs
- undirected graph
- graph data
- noisy data
- low dimensional
- similarity search
- manifold learning
- connected graphs
- principal component analysis
- high dimensional
- high dimensionality
- feature selection
- unsupervised learning
- distance measure
- high dimensional data
- probability density
- graphical models
- least squares
- semi supervised
- knn
- image processing