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}
}