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} }