Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study.
Dingyi Zhuang|Hanyong Xu|Xiaotong Guo|Yunhan Zheng|Shenhao Wang|Jinhua Zhao
| Anthology ID: | DBLP:conf/www/ZhuangXGZWZ25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2351-2360 |
| URL: | https://doi.org/10.1145/3701716.3717368 |
| DOI: | https://doi.org/10.1145/3701716.3717368 |
| DBLP: | conf/www/ZhuangXGZWZ25 |
| BibTeX: |
@inproceedings{zhuang-2025-mitigating,
author = {Dingyi Zhuang and
Hanyong Xu and
Xiaotong Guo and
Yunhan Zheng and
Shenhao Wang and
Jinhua Zhao},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {2351--2360},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3717368},
doi = {https://doi.org/10.1145/3701716.3717368}
}