GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks.
Zhonghang LiLianghao XiaYong XuChao HuangPublished in: NeurIPS (2023)
Keyphrases
- spatio temporal
- neural network
- training process
- training algorithm
- feedforward neural networks
- back propagation
- backpropagation algorithm
- neural network training
- feed forward neural networks
- generative model
- pattern recognition
- multi layer perceptron
- directed graph
- moving objects
- graph theory
- structured data
- space time
- discriminative training
- training set
- spatial and temporal
- training examples
- radial basis function network
- unsupervised learning
- random walk
- graph structure
- artificial neural networks
- training phase
- error back propagation
- graph mining
- multilayer neural network
- graph theoretic
- graph representation
- neural network structure
- multi layer
- neural nets
- multilayer perceptron
- training samples
- test set
- spatio temporal databases
- computer vision
- discriminatively trained
- image sequences
- training data
- hidden markov models
- recurrent networks
- graph model
- radial basis function
- graph matching
- hidden layer
- directed acyclic graph