On Calibration of Graph Neural Networks for Node Classification.
Tong LiuYushan LiuMarcel HildebrandtMitchell JoblinHang LiVolker TrespPublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- directed graph
- graph structure
- multi layer perceptron
- pattern classification
- classification scheme
- classification accuracy
- training process
- machine learning
- fuzzy logic
- text classification
- artificial neural networks
- feature space
- connected components
- undirected graph
- rule extraction
- support vector
- classification algorithm
- multilayer perceptron
- graph theory
- random walk
- weighted graph
- model selection
- graph model
- supervised learning
- spanning tree
- feature extraction
- feature selection
- learning vector quantization
- root node