Pre-training Graph Neural Networks.
Weihua HuBowen LiuJoseph GomesMarinka ZitnikPercy LiangVijay S. PandeJure LeskovecPublished in: CoRR (2019)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- pattern recognition
- multi layer perceptron
- back propagation
- error back propagation
- neural network training
- training set
- backpropagation algorithm
- training patterns
- feed forward neural networks
- graph structure
- fuzzy systems
- artificial neural networks
- random walk
- structured data
- graph theory
- supervised learning
- genetic algorithm
- graph representation
- fuzzy logic
- weighted graph
- bipartite graph
- connected components
- test set
- graph model
- associative memory
- support vector
- radial basis function network
- feed forward
- recurrent networks
- graph based algorithm
- data sets