A Comprehensive Survey on Distributed Training of Graph Neural Networks.
Haiyang LinMingyu YanXiaochun YeDongrui FanShirui PanWenguang ChenYuan XiePublished in: Proc. IEEE (2023)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- feedforward neural networks
- pattern recognition
- backpropagation algorithm
- distributed systems
- cooperative
- distributed environment
- back propagation
- error back propagation
- graph theory
- feed forward
- directed graph
- fault diagnosis
- test set
- random walk
- genetic algorithm
- training data
- graph representation
- multi layer perceptron
- distributed data
- multi agent
- directed acyclic graph
- lightweight
- neural network structure
- neural network training
- training phase
- graph model
- hidden layer
- artificial neural networks
- recurrent neural networks
- connected components
- self organizing maps
- support vector machine
- bipartite graph
- graph matching
- peer to peer
- online learning
- e learning
- recurrent networks
- complex networks
- machine learning