JOURNAL ARTICLE

Hierarchical spatio-temporal graph ODE networks for traffic forecasting

Keywords:
Computer science Ode Data mining Graph Traffic flow (computer networking) Ordinary differential equation Smoothing Theoretical computer science Differential equation Computer network

Metrics

10
Cited By
5.40
FWCI (Field Weighted Citation Impact)
60
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Traffic Prediction and Management Techniques
Physical Sciences →  Engineering →  Building and Construction
Transportation Planning and Optimization
Social Sciences →  Social Sciences →  Transportation
Time Series Analysis and Forecasting
Physical Sciences →  Computer Science →  Signal Processing

Related Documents

BOOK-CHAPTER

Traffic Forecasting with Spatio-Temporal Graph Neural Networks

S.I. ShahParas DoshiShlok Rahul ManglePrachi TawdeVinaya Sawant

Communications in computer and information science Year: 2024 Pages: 183-197
JOURNAL ARTICLE

Hierarchical Spatio–Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting

Guangyu HuoYong ZhangBoyue WangJunbin GaoYongli HuBaocai Yin

Journal:   IEEE Transactions on Intelligent Transportation Systems Year: 2023 Vol: 24 (4)Pages: 3855-3867
JOURNAL ARTICLE

Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting

Yihong MaPatrick D. GerardYijun TianZhichun GuoNitesh V. Chawla

Journal:   Proceedings of the 31st ACM International Conference on Information & Knowledge Management Year: 2022 Pages: 1481-1490
BOOK-CHAPTER

Efficient Spatio-Temporal Graph Neural Networks for Traffic Forecasting

Yackov LubarskyAlexei GaissinskiPavel Kisilev

IFIP advances in information and communication technology Year: 2023 Pages: 109-120
© 2026 ScienceGate Book Chapters — All rights reserved.