VecCity: A Taxonomy-guided Library for Map Entity Representation Learning
Summary: VecCity reframes map entity representation learning by functional modules—encoders, pretraining, and downstream tasks—rather than entity types. Its modular library unifies nine-city data, 21 models, and standardized benchmarks for reusable experimentation. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Wentao Zhang (Beihang University)
- 2. Jingyuan Wang (Beihang University)
- 3. Yifan Yang (Beihang University)
- 4. Leong Hou U (University of Macau)
BibTeX Citation
@article{zhang_vldb25,
title = {{VecCity: A Taxonomy-guided Library for Map Entity Representation Learning}},
author = {Zhang, Wentao and Wang, Jingyuan and Yang, Yifan and U, Leong Hou},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {8},
pages = {2575--2588},
doi = {10.14778/3742728.3742749},
url = {https://doi.org/10.14778/3742728.3742749},
year = {2025}
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