Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks.

Qiuyu Guo|Xiang Zhao|Yang Fang|Shiyu Yang|Xuemin Lin|Dian Ouyang


Anthology ID:DBLP:conf/cikm/GuoZFY0O22
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:635-645
URL:https://doi.org/10.1145/3511808.3557377
DOI:https://doi.org/10.1145/3511808.3557377
DBLP:conf/cikm/GuoZFY0O22
BibTeX:
@inproceedings{guo-2022-learning, author = {Qiuyu Guo and Xiang Zhao and Yang Fang and Shiyu Yang and Xuemin Lin and Dian Ouyang}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {635--645}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557377}, doi = {https://doi.org/10.1145/3511808.3557377} }