Towards Sparse Hierarchical Graph Classifiers.
Catalina CangeaPetar VelickovicNikola JovanovicThomas KipfPietro LiòPublished in: CoRR (2018)
Keyphrases
- decision trees
- hierarchical models
- training data
- graph representation
- training set
- graph model
- structured data
- sparse data
- support vector
- directed graph
- sparse representation
- gaussian graphical models
- supervised classification
- graph structure
- graph theory
- naive bayes
- random walk
- hierarchical structure
- high dimensional
- test set
- directed acyclic
- linear classifiers
- graph theoretic
- feature selection
- dictionary learning
- data sets
- machine learning
- classifier training
- classifier ensemble
- hierarchical model
- graph databases
- roc curve
- training examples
- machine learning algorithms
- connected components