Bandit Samplers for Training Graph Neural Networks.
Ziqi LiuZhengwei WuZhiqiang ZhangJun ZhouShuang YangLe SongYuan QiPublished in: NeurIPS (2020)
Keyphrases
- neural network
- training process
- random sampling
- training algorithm
- feed forward neural networks
- feedforward neural networks
- random walk
- back propagation
- graph representation
- multi layer perceptron
- graph theory
- training set
- neural network training
- backpropagation algorithm
- pattern recognition
- neural network structure
- graph theoretic
- graph structure
- graph matching
- test set
- supervised learning
- fuzzy logic
- radial basis function network
- recurrent neural networks
- bipartite graph
- weighted graph
- connected components
- structured data
- markov chain
- artificial neural networks
- recurrent networks
- error back propagation
- graph model
- multi layer
- multilayer perceptron
- neural network model
- active learning
- reinforcement learning
- training data
- social networks