Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies.
Jonas TeufelLuca TorresiPascal FriederichPublished in: xAI (2) (2023)
Keyphrases
- neural network
- graph representation
- pattern recognition
- artificial neural networks
- back propagation
- graph theory
- generating explanations
- random walk
- graph theoretic
- literature review
- empirical studies
- neural nets
- graph mining
- graph structure
- random graphs
- graph databases
- graph model
- fuzzy systems
- directed graph
- structured data
- weighted graph
- neural network model
- graphical representation
- stable set
- machine learning