ComGA: Community-Aware Attributed Graph Anomaly Detection.
Xuexiong Luo|Jia Wu|Amin Beheshti|Jian Yang|Xiankun Zhang|Yuan Wang|Shan Xue
| Anthology ID: | DBLP:conf/wsdm/Luo0BYZWX22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 657-665 |
| URL: | https://doi.org/10.1145/3488560.3498389 |
| DOI: | https://doi.org/10.1145/3488560.3498389 |
| DBLP: | conf/wsdm/Luo0BYZWX22 |
| BibTeX: |
@inproceedings{luo-2022-comga,
author = {Xuexiong Luo and
Jia Wu and
Amin Beheshti and
Jian Yang and
Xiankun Zhang and
Yuan Wang and
Shan Xue},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{ComGA: Community-Aware Attributed Graph Anomaly Detection}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {657--665},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498389},
doi = {https://doi.org/10.1145/3488560.3498389}
}