Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration.
Xiao WangHongrui LiuChuan ShiCheng YangPublished in: CoRR (2021)
Keyphrases
- neural network
- high confidence
- directed graph
- artificial neural networks
- pattern recognition
- structured data
- camera calibration
- graph theory
- fuzzy logic
- random walk
- graph structure
- graph theoretic
- graph model
- graph representation
- gaze estimation
- graph mining
- confidence level
- neural network model
- confidence values
- hand eye coordination
- bipartite graph
- focal length
- directed acyclic graph
- fuzzy systems
- neural nets
- associative memory
- graph matching
- self organizing maps
- back propagation
- computer vision