Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting.
Li Lin|Kaiwen Xia|Anqi Zheng|Shijie Hu|Shuai Wang
| Anthology ID: | DBLP:conf/cikm/0011XZH024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1410-1419 |
| URL: | https://doi.org/10.1145/3627673.3679854 |
| DOI: | https://doi.org/10.1145/3627673.3679854 |
| DBLP: | conf/cikm/0011XZH024 |
| BibTeX: |
@inproceedings{lin-2024-hierarchical,
author = {Li Lin and
Kaiwen Xia and
Anqi Zheng and
Shijie Hu and
Shuai Wang},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1410--1419},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679854},
doi = {https://doi.org/10.1145/3627673.3679854}
}