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CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic
  Forecasting

CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting

6 December 2021
Yuchen Fang
Yanjun Qin
Haiyong Luo
Fang Zhao
Liang Zeng
Bo Hui
Chenxing Wang
    GNN
    BDL
    AI4TS
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Papers citing "CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting"

2 / 2 papers shown
Title
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow
  Prediction Method
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method
Peng Xie
Minbo Ma
Bin Wang
Junbo Zhang
Tianrui Li
24
0
0
08 Sep 2024
Uncertainty Quantification via Spatial-Temporal Tweedie Model for
  Zero-inflated and Long-tail Travel Demand Prediction
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
Xinke Jiang
Dingyi Zhuang
Xianghui Zhang
Hao Chen
Jiayuan Luo
Xiaowei Gao
19
20
0
16 Jun 2023
1