Graph embedding in vector spaces by node attribute statistics.
Jaume GibertErnest ValvenyHorst BunkePublished in: Pattern Recognit. (2012)
Keyphrases
- vector space
- graph embedding
- low dimensional
- high dimensional
- dimensionality reduction
- euclidean space
- graph classification
- discriminant analysis
- data representation
- distance measure
- semi supervised
- feature space
- manifold learning
- feature vectors
- feature representation
- graph structure
- principal component analysis
- high dimensional data
- data points
- subspace learning
- riemannian manifolds
- similarity search
- machine learning
- dictionary learning