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Multiresolution Taxi Demand Prediction using Spatiotemporal Graph Neural Networks (基於時空圖神經網路的多解析度出租車需求預測)

Project Details

StatusFinished
Effective start/end date1/07/25 → 30/06/26

Funding

  • LU Research Committee: HK$36,000.00

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Funding Scheme

  • Shenzhen University-Lingnan University Joint Research Programme

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  • 1 Conference paper (refereed)

  • Machine Unlearning on Trajectory Data: An Experimental Analysis

    LIU, Y., SHEN, J., WANG, W., LI, J., XU, J., ZHAO, L., XIE, H. & LIU, A., 8 Aug 2026, KDD 2026 : Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Inc, Vol. 2. p. 9451-9461 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2-B).

    Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

    Open Access