Feb. 12, 2024, 5:42 a.m. | Jiawei Jiang Yifan Yang Jingyuan Wang Junjie Wu

cs.LG updates on arXiv.org arxiv.org

The electronic map plays a crucial role in geographic information systems, serving various urban managerial scenarios and daily life services. Developing effective Map Entity Representation Learning (MERL) methods is crucial to extracting embedding information from electronic maps and converting map entities into representation vectors for downstream applications. However, existing MERL methods typically focus on one specific category of map entities, such as POIs, road segments, or land parcels, which is insufficient for real-world diverse map-based applications and might lose latent …

applications cs.lg daily electronic embedding graph information life map maps representation representation learning role services systems urban vectors via

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