Graph Local Homophily Network for Anomaly Detection.
Ronghui Guo|Minghui Zou|Sai Zhang|Xiaowang Zhang|Zhizhi Yu|Zhiyong Feng
| Anthology ID: | DBLP:conf/cikm/GuoZZZY024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 706-716 |
| URL: | https://doi.org/10.1145/3627673.3679785 |
| DOI: | https://doi.org/10.1145/3627673.3679785 |
| DBLP: | conf/cikm/GuoZZZY024 |
| BibTeX: |
@inproceedings{guo-2024-graph,
author = {Ronghui Guo and
Minghui Zou and
Sai Zhang and
Xiaowang Zhang and
Zhizhi Yu and
Zhiyong Feng},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Graph Local Homophily Network for Anomaly Detection}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {706--716},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679785},
doi = {https://doi.org/10.1145/3627673.3679785}
}