GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks.
Peter MüllerLukas FaberKarolis MartinkusRoger WattenhoferPublished in: ICLR (2024)
Keyphrases
- neural network
- decision trees
- graph representation
- pattern recognition
- random walk
- graph model
- machine learning
- artificial neural networks
- graph structure
- graph theory
- structured data
- logistic regression
- neural network model
- bipartite graph
- predictive accuracy
- weighted graph
- decision tree induction
- graph theoretic
- training data
- information extraction
- directed acyclic graph
- fuzzy systems
- multi layer
- machine learning algorithms
- decision tree algorithm
- data sets
- graph matching
- directed graph
- decision tree classifiers
- attribute selection
- graph construction
- decision tree learning
- random graphs
- graph mining
- fuzzy logic
- random forest
- back propagation
- self organizing maps