ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction.
Liang Zhao|Min Gao|Zongwei Wang
| Anthology ID: | DBLP:conf/wsdm/Zhao0W22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1443-1451 |
| URL: | https://doi.org/10.1145/3488560.3498444 |
| DOI: | https://doi.org/10.1145/3488560.3498444 |
| DBLP: | conf/wsdm/Zhao0W22 |
| BibTeX: |
@inproceedings{zhao-2022-stgsp,
author = {Liang Zhao and
Min Gao and
Zongwei Wang},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {1443--1451},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498444},
doi = {https://doi.org/10.1145/3488560.3498444}
}