Exploring trajectory embedding via spatial-temporal propagation for dynamic region representations-Reference-Cited by-同舟云学术

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Exploring trajectory embedding via spatial-temporal propagation for dynamic region representations

Published:2024-05 Issue: Volume:668 Page:120516
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Liu Chunyu,Zhang Hongli,Zhu Guopu,Guan Haotian,Kwong Sam^ORCID

Publisher

Elsevier BV

Reference38 articles.

1. Multiscale geoscene segmentation for extracting urban functional zones from VHR satellite images;Zhang;Remote Sens.,2018

2. Multiple local 3D CNNs for region-based prediction in smart cities;Chen;Inf. Sci.,2021

3. A new clustering mining algorithm for multi-source imbalanced location data;Cai;Inf. Sci.,2022

4. Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting;Peng;Inf. Sci.,2020

5. A unified clustering approach for identifying functional zones in suburban and urban areas;Yang,2018

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