Robust Traffic Forecasting With Disentangled Spatiotemporal Graph Neural Networks
- DOI
- 10.1109/tnnls.2025.3635636
- Published
- 2026-06
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2025.3635636,
title = {Robust Traffic Forecasting With Disentangled Spatiotemporal Graph Neural Networks},
author = {Ting Wang and Rui Luo and Daqian Shi and Hao Deng and Shengjie Zhao},
year = {2026},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2025.3635636},
url = {https://doi.org/10.1109/tnnls.2025.3635636}
}RIS
TY - JOUR TI - Robust Traffic Forecasting With Disentangled Spatiotemporal Graph Neural Networks AU - Ting Wang AU - Rui Luo AU - Daqian Shi AU - Hao Deng AU - Shengjie Zhao PY - 2026 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2025.3635636 UR - https://doi.org/10.1109/tnnls.2025.3635636 ER -
APA
Wang, T., Luo, R., Shi, D., Deng, H., & Zhao, S. (2026). Robust Traffic Forecasting With Disentangled Spatiotemporal Graph Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2025.3635636
Source records
- crossref · retrieved 2026-09-25T20:58:34.954Z