Training Graph Neural Networks with 1000 Layers.
Guohao LiMatthias MüllerBernard GhanemVladlen KoltunPublished in: CoRR (2021)
Keyphrases
- neural network
- training process
- training algorithm
- multi layer
- feed forward neural networks
- feedforward neural networks
- backpropagation algorithm
- error back propagation
- multi layer perceptron
- pattern recognition
- fuzzy logic
- graph representation
- graph model
- graph theory
- training samples
- connected components
- back propagation
- neural network training
- training set
- training data
- radial basis function network
- graph theoretic
- training patterns
- neural network structure
- machine learning
- graph structure
- feed forward
- random walk
- online learning
- weighted graph
- recurrent neural networks
- multilayer perceptron
- graph matching
- supervised learning
- e learning
- learning algorithm
- multilayer neural network