GRAPHSHAP: Motif-based Explanations for Black-box Graph Classifiers.
Alan PerottiPaolo BajardiFrancesco BonchiAndré PanissonPublished in: CoRR (2022)
Keyphrases
- black box
- black boxes
- white box
- integration testing
- training data
- rule extraction
- random walk
- white box testing
- graph structure
- test set
- directed graph
- state transition
- graph mining
- weighted graph
- graph theory
- test cases
- support vector
- machine learning algorithms
- naive bayes
- training samples
- feature set
- training set
- feature selection
- database
- dna sequences
- directed acyclic graph
- meta learning
- artificial intelligence
- data sets