Feature selection on node statistics based embedding of graphs.
Jaume GibertErnest ValvenyHorst BunkePublished in: Pattern Recognit. Lett. (2012)
Keyphrases
- feature selection
- graph classification
- graph structure
- directed graph
- nodes of a graph
- graph embedding
- vector space
- undirected graph
- finding the shortest path
- weighted graph
- graph matching
- dimensionality reduction
- feature set
- spectral embedding
- feature selection algorithms
- text categorization
- edge weights
- high dimensionality
- graph theoretic
- graph clustering
- multi class
- tree structure
- small world networks
- betweenness centrality
- degree distribution
- densely connected
- discriminative features
- feature extraction
- selected features
- knn
- classification accuracy
- graph databases
- graph mining
- low dimensional
- text classification
- graph theory
- microarray data
- support vector
- random walk
- model selection
- machine learning
- spanning tree
- support vector machine
- similarity measure
- multi task
- data hiding
- graph representation
- graph partitioning