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ARP-STGCN: a fast attraction–repulsion-potential based spatio-temporal graph convolutional network with imputation for pedestrian trajectory prediction

Crossref DOI link: https://doi.org/10.1007/s40747-025-02068-4

Published Online: 2025-10-10

Published Print: 2025-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Fang, Bin

Qin, Fangtao https://orcid.org/0009-0008-0709-1714
Wang, Yi
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (62376042)
License Information

Text and Data Mining valid from 2025-10-10

Version of Record valid from 2025-10-10
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Article History

Received: 17 April 2025

Accepted: 16 August 2025

First Online: 10 October 2025

Declarations

:

: On behalf of all authors, the corresponding author states that there is no Conflict of interest.

: Not applicable.

: Not applicable.

: Not applicable.

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