Finding the most descriptive substructures in graphs with discrete and numeric labels.
Michael DavisWeiru LiuPaul MillerPublished in: J. Intell. Inf. Syst. (2014)
Keyphrases
- graph mining
- graph databases
- labeled graphs
- graph data
- pairwise
- maximum clique
- data structure
- graph theory
- numeric data
- discrete geometry
- subgraph isomorphism
- graph matching
- class labels
- training set
- data sets
- multi label
- graph model
- graph partitioning
- graph theoretic
- structured data
- random graphs
- training examples
- training data
- decision trees
- clustering algorithm