Bandit Samplers for Training Graph Neural Networks.
Ziqi LiuZhengwei WuZhiqiang ZhangJun ZhouShuang YangLe SongYuan QiPublished in: CoRR (2020)
Keyphrases
- neural network
- training process
- random sampling
- training algorithm
- feedforward neural networks
- pattern recognition
- feed forward neural networks
- random walk
- back propagation
- fuzzy logic
- multi layer perceptron
- directed graph
- recurrent neural networks
- training examples
- backpropagation algorithm
- graph representation
- connected components
- graph matching
- neural nets
- graph theory
- graph model
- bayesian inference
- error back propagation
- radial basis function network
- neural network training
- multi layer
- graph structure
- decision problems
- structured data
- training samples
- training set
- training data
- weighted graph
- fault diagnosis
- graph theoretic
- test set
- recurrent networks
- markov chain