A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks.
Sai MunikotiDeepesh AgarwalLaya DasBalasubramaniam NatarajanPublished in: Neurocomputing (2023)
Keyphrases
- neural network
- graph representation
- structured data
- directed graph
- fuzzy logic
- weighted graph
- graph structure
- connected components
- graph theory
- graph theoretic
- graph mining
- graph model
- training process
- feed forward
- fault diagnosis
- random walk
- artificial neural networks
- graphical representation
- activation function
- graph databases
- dependency graph
- fuzzy systems
- multi layer
- neural nets
- uncertain data
- back propagation
- pairwise