GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks.
Zhonghang LiLianghao XiaYong XuChao HuangPublished in: CoRR (2023)
Keyphrases
- spatio temporal
- neural network
- training process
- training algorithm
- feed forward neural networks
- multi layer perceptron
- feedforward neural networks
- graph theory
- image sequences
- backpropagation algorithm
- genetic algorithm
- spatial and temporal
- neural network training
- discriminative training
- recurrent networks
- generative model
- graph representation
- training set
- pattern recognition
- graph model
- directed acyclic graph
- neural network structure
- error back propagation
- artificial neural networks
- recurrent neural networks
- back propagation
- training data
- knn
- fuzzy logic
- radial basis function network
- training phase
- test set
- weighted graph
- graph matching
- structured data
- directed graph
- neural network model
- semi supervised learning
- unsupervised learning
- random walk
- multi layer
- spatio temporal data
- object detection
- graph structure
- bayesian networks
- bipartite graph