Alleviating Structural Distribution Shift in Graph Anomaly Detection.

Yuan Gao|Xiang Wang|Xiangnan He|Zhenguang Liu|Huamin Feng|Yongdong Zhang


Anthology ID:DBLP:conf/wsdm/GaoW0LF023
Volume:Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
Year:2023
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:357-365
URL:https://doi.org/10.1145/3539597.3570377
DOI:https://doi.org/10.1145/3539597.3570377
DBLP:conf/wsdm/GaoW0LF023
BibTeX:
@inproceedings{gao-2023-alleviating, author = {Yuan Gao and Xiang Wang and Xiangnan He and Zhenguang Liu and Huamin Feng and Yongdong Zhang}, editor = {Tat-Seng Chua and Hady Wirawan Lauw and Luo Si and Evimaria Terzi and Panayiotis Tsaparas}, title = {{Alleviating Structural Distribution Shift in Graph Anomaly Detection}}, booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}}, pages = {357--365}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539597.3570377}, doi = {https://doi.org/10.1145/3539597.3570377} }