Towards effective urban region-of-interest demand modeling via graph representation learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10618-024-01049-4.pdf
Reference24 articles.
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4. Fu Y, Wang P, Du J, et al (2019) Efficient region embedding with multi-view spatial networks: a perspective of locality-constrained spatial autocorrelations. In: Proceedings of the AAAI conference on artificial intelligence, pp 906–913. https://doi.org/10.1609/aaai.v33i01.3301906
5. Gong L, Liu X, Wu L et al (2016) Inferring trip purposes and uncovering travel patterns from taxi trajectory data. Cartogr Geogr Inf Sci 43(2):103–114. https://doi.org/10.1080/15230406.2015.1014424
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