GPT-GNN: Generative Pre-Training of Graph Neural Networks.
Ziniu HuYuxiao DongKuansan WangKai-Wei ChangYizhou SunPublished in: KDD (2020)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- generative model
- multi layer perceptron
- random walk
- feed forward neural networks
- backpropagation algorithm
- neural network training
- back propagation
- graph representation
- error back propagation
- graph theory
- discriminative training
- artificial neural networks
- training phase
- graph structure
- directed graph
- training data
- pattern recognition
- neural network structure
- activation function
- training set
- multi layer
- structured prediction
- neural network model
- connected components
- fault diagnosis
- radial basis function network
- discriminative classifiers
- discriminatively trained
- graph model
- weighted graph
- recurrent neural networks
- graph matching
- feed forward
- training examples
- supervised learning
- support vector machine
- genetic algorithm
- machine learning