Detecting Illicit Food Factories from Chemical Declaration Data via Graph-aware Self-supervised Contrastive Anomaly Ranking.
| Anthology ID: | DBLP:conf/www/YangL24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4501-4511 |
| URL: | https://doi.org/10.1145/3589334.3648138 |
| DOI: | https://doi.org/10.1145/3589334.3648138 |
| DBLP: | conf/www/YangL24 |
| BibTeX: |
@inproceedings{yang-2024-detecting,
author = {Sheng-Fang Yang and
Cheng-Te Li},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Detecting Illicit Food Factories from Chemical Declaration Data via Graph-aware Self-supervised Contrastive Anomaly Ranking}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {4501--4511},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3648138},
doi = {https://doi.org/10.1145/3589334.3648138}
}