A Comprehensive Survey on Distributed Training of Graph Neural Networks.
Haiyang LinMingyu YanXiaochun YeDongrui FanShirui PanWenguang ChenYuan XiePublished in: CoRR (2022)
Keyphrases
- neural network
- training algorithm
- training process
- distributed systems
- multi layer perceptron
- back propagation
- pattern recognition
- backpropagation algorithm
- feed forward neural networks
- feedforward neural networks
- neural network training
- multi agent
- bipartite graph
- artificial neural networks
- distributed data
- graph structure
- graph theory
- structured data
- feed forward
- self organizing maps
- recurrent networks
- lightweight
- random walk
- training set
- directed graph
- distributed environment
- mobile agents
- radial basis function network
- weighted graph
- fuzzy logic
- graph theoretic
- graph representation
- error back propagation
- multilayer perceptron
- neural network structure
- training phase
- undirected graph
- multi layer
- neural nets
- test set
- training samples
- peer to peer
- cooperative
- learning algorithm
- genetic algorithm