Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration.
Xiao WangHongrui LiuChuan ShiCheng YangPublished in: NeurIPS (2021)
Keyphrases
- neural network
- high confidence
- pattern recognition
- artificial neural networks
- fuzzy systems
- graph theory
- graph theoretic
- graph representation
- directed graph
- genetic algorithm
- spanning tree
- graph matching
- neural network model
- connected components
- camera calibration
- bipartite graph
- confidence measure
- structured data
- confidence values
- computer vision
- camera network
- graphical models
- random walk
- back propagation
- graph model
- camera parameters
- multi layer
- weighted graph
- graph structure
- fault diagnosis
- feed forward