Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.
Lei Cai|Zhengzhang Chen|Chen Luo|Jiaping Gui|Jingchao Ni|Ding Li|Haifeng Chen
| Anthology ID: | DBLP:conf/cikm/CaiCLGN0C21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3747-3756 |
| URL: | https://doi.org/10.1145/3459637.3481955 |
| DOI: | https://doi.org/10.1145/3459637.3481955 |
| DBLP: | conf/cikm/CaiCLGN0C21 |
| BibTeX: |
@inproceedings{cai-2021-structural,
author = {Lei Cai and
Zhengzhang Chen and
Chen Luo and
Jiaping Gui and
Jingchao Ni and
Ding Li and
Haifeng Chen},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {3747--3756},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3481955},
doi = {https://doi.org/10.1145/3459637.3481955}
}