Prediction of Urban Population-Facilities Interactions with Graph Neural Network-Reference-Cited by-同舟云学术

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Prediction of Urban Population-Facilities Interactions with Graph Neural Network

Published:2023 Issue: Volume: Page:334-348
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2023
language:
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Author:

Mishina Margarita^ORCID,Sobolevsky Stanislav^ORCID,Kovtun Elizaveta^ORCID,Khrulkov Alexander^ORCID,Belyi Alexander^ORCID,Budennyy Semen^ORCID,Mityagin Sergey^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-36805-9_23

Reference33 articles.

1. 2GIS. City information service. www.2gis.ru

2. Google Maps. Satellite image. https://www.google.com.sg/maps/

3. Map data from OpenStreetMap. https://www.openstreetmap.org/copyright

4. Rosstat. https://rosstat.gov.ru/

5. Ashik, F.R., Mim, S.A., Neema, M.N.: Towards vertical spatial equity of urban facilities: An integration of spatial and aspatial accessibility. J. Urban Manag. 9(1), 77–92 (2020)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the Automated Text Report Generation in Open Transport Data Analysis Platform;Lecture Notes in Computer Science;2024

2. Forecasting Cascading Effects in Network Models as Applied to Urban Services Provision Assessment;Lecture Notes in Computer Science;2024

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