GPT-GNN: Generative Pre-Training of Graph Neural Networks.
Ziniu HuYuxiao DongKuansan WangKai-Wei ChangYizhou SunPublished in: CoRR (2020)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- feedforward neural networks
- graph representation
- back propagation
- pattern recognition
- multi layer perceptron
- neural network training
- artificial neural networks
- generative model
- discriminative training
- genetic algorithm
- training phase
- error back propagation
- graph theory
- structured data
- random walk
- connected components
- neural network structure
- feed forward
- graph structure
- fuzzy logic
- online learning
- unsupervised learning
- image segmentation
- recurrent networks
- multi layer
- weighted graph
- bipartite graph
- neural network model
- training samples
- self organizing maps
- graph partitioning
- test set
- supervised learning
- discriminative classifiers
- backpropagation algorithm
- training set
- recurrent neural networks
- e learning