Pre-training Graph Neural Networks with Kernels.
Nicolò NavarinDinh Van TranAlessandro SperdutiPublished in: CoRR (2018)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- pattern recognition
- feed forward neural networks
- back propagation
- artificial neural networks
- neural network training
- random walk
- directed graph
- multi layer perceptron
- error back propagation
- graph representation
- genetic algorithm
- learning machines
- supervised learning
- feature space
- training phase
- graph theory
- multi layer
- neural nets
- graph structure
- structured data
- kernel svms
- backpropagation algorithm
- graph kernels
- connected components
- graph matching
- kernel methods
- training examples
- training samples
- linear svm
- feed forward
- text classification
- neural network structure
- high dimensional
- multilayer neural network