MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph.
Gilles VandewieleBram SteenwinckelFilip De TurckFemke OngenaePublished in: BMC Medical Informatics Decis. Mak. (2020)
Keyphrases
- directed graph
- graph structure
- feature extraction
- knowledge discovery
- knowledge base
- domain knowledge
- classification accuracy
- discriminative features
- classification rules
- data mining techniques
- machine learning
- data mining
- class discrimination
- weighted graph
- discriminative learning
- support vector
- graph data
- random graphs
- training set
- spanning tree
- feature selection
- pattern mining
- root node
- classification algorithm
- structured data
- dominating set
- graph representation
- graph patterns
- adjacency matrix
- discriminative classifiers
- nodes of a graph
- bayesian network classifiers
- edge weights
- mining algorithm
- pattern recognition
- shortest path
- text classification
- feature space