Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training.
Chuxiong SunGuoshi WuPublished in: CoRR (2021)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- back propagation
- pattern recognition
- feed forward neural networks
- multi layer perceptron
- graph structure
- backpropagation algorithm
- neural network training
- training phase
- label propagation
- random walk
- training examples
- training data
- graph representation
- graph model
- error back propagation
- graph theory
- neural nets
- bipartite graph
- artificial neural networks
- fuzzy logic
- recurrent networks
- graph theoretic
- structured data
- fault diagnosis
- graph mining
- multilayer perceptron
- recurrent neural networks
- graph databases
- connected components
- class labels
- neural network model
- test set
- training samples
- supervised learning
- radial basis function network
- scalable video
- feed forward
- training set
- multilayer neural network
- label assignment