THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks.
Yilin Li|Jiaqi Zhu|Congcong Zhang|Yi Yang|Jiawen Zhang|Ying Qiao|Hongan Wang
| Anthology ID: | DBLP:conf/cikm/LiZZYZQW23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1368-1378 |
| URL: | https://doi.org/10.1145/3583780.3615079 |
| DOI: | https://doi.org/10.1145/3583780.3615079 |
| DBLP: | conf/cikm/LiZZYZQW23 |
| BibTeX: |
@inproceedings{li-2023-thgnn,
author = {Yilin Li and
Jiaqi Zhu and
Congcong Zhang and
Yi Yang and
Jiawen Zhang and
Ying Qiao and
Hongan Wang},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{THGNN: An Embedding-based Model for Anomaly Detection in Dynamic Heterogeneous Social Networks}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {1368--1378},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615079},
doi = {https://doi.org/10.1145/3583780.3615079}
}