Reference change · event page

Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology,

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

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Retraction Crossref 2 open · 2 total · 0 disputed

DOI: 10.1155/2021/2353875
Notice DOI: 10.1155/2023/9806091
Event date: 2023-11-29
Machine twin: JSON

01Notices on this DOI

Retraction Crossref · 2023-11-29
Retraction Retraction Watch

02One-hop citing occurrences

Retraction Open

Forecasting Global Network Traffic Trends: The Role of Virtual Reality

ref [16] · 2502.00785 · notice #9350 · dispute

Raw extraction · bibliography line

K. Zhang, X. Zhao, X. Li, X. Y . You, and Y. Zhu, “Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology,” Wirel. Commun. Mob. Comput., vol. 2021, 2021, doi: 10.1155/2021/2353875

Retraction Open

Forecasting Global Network Traffic Trends: The Role of Virtual Reality

ref [16] · 2502.00785 · notice #9349 · dispute

Raw extraction · bibliography line

K. Zhang, X. Zhao, X. Li, X. Y . You, and Y. Zhu, “Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology,” Wirel. Commun. Mob. Comput., vol. 2021, 2021, doi: 10.1155/2021/2353875

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