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Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging.

T. Wei, Y. Lin, S. Guo, Y. Lin, Y. Zhao, X. Jin, Z. Wu, and H. Wan. Knowl. Based Syst., (2024)

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Zhao Zhao

Yanning Zhao

Hertz-level ultra-stable laser and its application to high precision spectroscopyY. Zhao. Uni Erlangen-Nürnberg, (2009)

Ruoyao Zhao

Li Zhao

Fei Zhao

Other publications of authors with the same name

Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows.Y. Zhao, Y. Lin, Y. Zhang, H. Wen, Y. Liu, H. Wu, Z. Wu, S. Zhang, and H. Wan. IEEE Trans. Intell. Transp. Syst., 23 (11): 20202-20216 (2022)Deviation-based neighborhood model for context-aware QoS prediction of cloud and IoT services.H. Wu, K. Yue, C. Hsu, Y. Zhao, B. Zhang, and G. Zhang. Future Gener. Comput. Syst., (2017)A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.H. Wen, Y. Lin, L. Wu, X. Mao, T. Cai, Y. Hou, S. Guo, Y. Liang, G. Jin, Y. Zhao and 3 other author(s). CoRR, (2023)Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging.T. Wei, Y. Lin, S. Guo, Y. Lin, Y. Zhao, X. Jin, Z. Wu, and H. Wan. Knowl. Based Syst., (2024)Spatial-temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecastin.X. Jin, J. Wang, S. Guo, T. Wei, Y. Zhao, Y. Lin, and H. Wan. Expert Syst. Appl., 238 (Part E): 122143 (March 2024)BIMSim3D: multi-agent human activity simulation in indoor spaces.Y. Zhao, F. Pour, S. Golestan, and E. Stroulia. SEsCPS@ICSE, page 18-24. IEEE / ACM, (2019)Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction.H. Wen, Y. Lin, X. Mao, F. Wu, Y. Zhao, H. Wang, J. Zheng, L. Wu, H. Hu, and H. Wan. KDD, page 4143-4152. ACM, (2022)Self-gated FM: Revisiting the Weight of Feature Interactions for CTR Prediction.Z. Li, H. Wu, X. Wang, Y. Zhao, and L. Zhang. CollaborateCom (1), volume 460 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 415-432. Springer, (2022)Toward Effective Personalized Service QoS Prediction From the Perspective of Multi-Task Learning.H. Lian, J. Li, H. Wu, Y. Zhao, L. Zhang, and X. Wang. IEEE Trans. Netw. Serv. Manag., 20 (3): 2587-2597 (September 2023)Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting.Y. Zhao, Y. Lin, H. Wen, T. Wei, X. Jin, and H. Wan. IEEE Trans. Intell. Transp. Syst., 24 (8): 8650-8666 (August 2023)

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Disambiguation of "Zhao, Yiji"

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Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging.

Please choose a person to relate this publication to

Zhao Zhao

Yanning Zhao

Ruoyao Zhao

Li Zhao

Fei Zhao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhao, Yiji"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging.

Please choose a person to relate this publication to

Zhao Zhao

Yanning Zhao

Ruoyao Zhao

Li Zhao

Fei Zhao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging.