Functional Embedding of Urban Areas in Human Mobility Patterns Based on Road Network Information
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7502-0_37
Reference8 articles.
1. Luo Y, Chung F, Chen K (2022) Urban region profiling via a multi-graph representation learning framework. arXiv preprint arXiv:2202.02074
2. Wu S, Yan X, Fan X et al. (2022) Multi-graph fusion networks for urban region embedding. arXiv preprint arXiv:2201.09760
3. Zhang K (2017) Uncovering urban dynamics via cross-modal representation learning
4. Zhang L, Long C, Cong G (2022) Region embedding with intra and inter-view contrastive learning. IEEE Trans. Knowl. Data Eng.
5. Zhang M, Li T, Li Y et al. (2021) Multi-view joint graph representation learning for urban region embedding. In: Proceedings of the twenty-ninth international conference on international joint conferences on artificial intelligence
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