Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting.
Yihong Ma|Patrick Gérard|Yijun Tian|Zhichun Guo|Nitesh V. Chawla
| Anthology ID: | DBLP:conf/cikm/MaG0GC22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1481-1490 |
| URL: | https://doi.org/10.1145/3511808.3557350 |
| DOI: | https://doi.org/10.1145/3511808.3557350 |
| DBLP: | conf/cikm/MaG0GC22 |
| BibTeX: |
@inproceedings{ma-2022-hierarchical,
author = {Yihong Ma and
Patrick G\'{e}rard and
Yijun Tian and
Zhichun Guo and
Nitesh V. Chawla},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {1481--1490},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557350},
doi = {https://doi.org/10.1145/3511808.3557350}
}