Detecting Illicit Food Factories from Chemical Declaration Data via Graph-aware Self-supervised Contrastive Anomaly Ranking.

Sheng-Fang Yang|Cheng-Te Li


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} }