Explaining Identity-aware Graph Classifiers through the Language of Motifs.
Alan PerottiPaolo BajardiFrancesco BonchiAndré PanissonPublished in: IJCNN (2023)
Keyphrases
- feature selection
- decision trees
- random walk
- graph representation
- graph theory
- graph model
- natural language
- graph structure
- bipartite graph
- support vector
- programming language
- training data
- training set
- machine learning algorithms
- graph matching
- linear classifiers
- weighted graph
- dna sequences
- language learning
- test set
- naive bayes
- data sets
- connected components
- directed acyclic graph
- spanning tree
- learning classifier systems
- feature set
- binding sites
- protein function prediction
- optimum path forest