On Calibration of Graph Neural Networks for Node Classification.
Tong LiuYushan LiuMarcel HildebrandtMitchell JoblinHang LiVolker TrespPublished in: IJCNN (2022)
Keyphrases
- neural network
- pattern recognition
- graph structure
- directed graph
- pattern classification
- classification accuracy
- feature extraction
- decision trees
- learning vector quantization
- fuzzy logic
- artificial neural networks
- classification scheme
- tree structure
- training process
- graph model
- classification algorithm
- support vector machine svm
- graph representation
- text classification
- rule extraction
- support vector machine
- support vector
- neural networks and support vector machines
- genetic algorithm
- multi layer perceptron
- undirected graph
- nodes of a graph
- weighted graph
- neural network model
- connected components
- classification method
- random walk
- image classification
- feature vectors
- feature selection
- machine learning