Predicting the Failure of Component X in the Scania Dataset with Graph Neural Networks.
Maurizio PartonAndrea FoisMichelangelo VegliòCarlo MettaMarco GregnaninPublished in: IDA (2) (2024)
Keyphrases
- feature space
- neural network
- feature selection
- pattern recognition
- artificial neural networks
- benchmark datasets
- weighted graph
- random walk
- graph theory
- genetic algorithm
- graph structure
- fuzzy logic
- graph model
- graph partitioning
- graph representation
- directed graph
- back propagation
- database
- fault diagnosis
- recurrent neural networks
- training dataset
- image segmentation
- random graphs
- graph search
- spanning tree
- graph databases
- graph structures
- network architecture
- graph mining
- multi layer
- neural nets
- multilayer perceptron
- radial basis function
- connected components
- structured data
- expert systems