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ST-GIN: An Uncertainty Quantification Approach in Traffic Data
  Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent
  United Neural Networks

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks

10 May 2023
Zepu Wang
Dingyi Zhuang
Yankai Li
Jinhua Zhao
Peng Sun
Shenhao Wang
Yulin Hu
    GNN
    AI4TS
ArXivPDFHTML

Papers citing "ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks"

1 / 1 papers shown
Title
Spatial Aggregation and Temporal Convolution Networks for Real-time
  Kriging
Spatial Aggregation and Temporal Convolution Networks for Real-time Kriging
Yuankai Wu
Dingyi Zhuang
Mengying Lei
A. Labbe
Lijun Sun
AI4TS
30
25
0
24 Sep 2021
1