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} }