DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees.
Peter MüllerLukas FaberKarolis MartinkusRoger WattenhoferPublished in: CoRR (2022)
Keyphrases
- decision trees
- neural network
- genetic algorithm
- decision tree induction
- naive bayes
- back propagation
- graph theory
- graph representation
- predictive accuracy
- machine learning
- bipartite graph
- graph structure
- neural network model
- decision rules
- structured data
- random walk
- nearest neighbour
- network architecture
- spanning tree
- weighted graph
- multi layer perceptron
- prediction model
- graph matching
- feed forward
- pattern recognition
- fault diagnosis
- decision tree learning
- neural nets
- learning vector quantization
- decision tree algorithm
- attribute selection
- feed forward neural networks
- artificial neural networks
- machine learning algorithms
- self organizing maps
- graph databases
- connected components
- graph model
- data mining methods
- random forest