Decoupling Representation Learning and Classification for GNN-based Anomaly Detection.
Yanling Wang|Jing Zhang|Shasha Guo|Hongzhi Yin|Cuiping Li|Hong Chen
| Anthology ID: | DBLP:conf/sigir/Wang0GYL021 |
|---|---|
| Volume: | SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 |
| Year: | 2021 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1239-1248 |
| URL: | https://doi.org/10.1145/3404835.3462944 |
| DOI: | https://doi.org/10.1145/3404835.3462944 |
| DBLP: | conf/sigir/Wang0GYL021 |
| BibTeX: |
@inproceedings{wang-2021-decoupling,
author = {Yanling Wang and
Jing Zhang and
Shasha Guo and
Hongzhi Yin and
Cuiping Li and
Hong Chen},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{Decoupling Representation Learning and Classification for GNN-based Anomaly Detection}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {1239--1248},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3462944},
doi = {https://doi.org/10.1145/3404835.3462944}
}