Efficient Epidemic Intervention Generation: A Graph Adversarial Attack Perspective.
Yunxiao Li|Mingyang Wei|Zewen Liu|Max S. Y. Lau|Wei Jin
| Anthology ID: | DBLP:conf/www/LiW0L025 |
|---|---|
| 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: | 2361-2366 |
| URL: | https://doi.org/10.1145/3701716.3717363 |
| DOI: | https://doi.org/10.1145/3701716.3717363 |
| DBLP: | conf/www/LiW0L025 |
| BibTeX: |
@inproceedings{li-2025-efficient,
author = {Yunxiao Li and
Mingyang Wei and
Zewen Liu and
Max S. Y. Lau and
Wei Jin},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Efficient Epidemic Intervention Generation: A Graph Adversarial Attack Perspective}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {2361--2366},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3717363},
doi = {https://doi.org/10.1145/3701716.3717363}
}