Decoupling Representation Learning and Classification for GNN-based Anomaly Detection-Reference-Cited by-同舟云学术

Decoupling Representation Learning and Classification for GNN-based Anomaly Detection

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Wang Yanling¹,Zhang Jing¹,Guo Shasha¹,Yin Hongzhi²,Li Cuiping¹,Chen Hong¹

Affiliation:

1. Renmin University of China, Beijing, China

2. The University of Queensland, Brisbane, Australia

Funder

Beijing Natural Science Foundation

National Key Research and Develop Plan

CCF-Tencent Open Fund

National Natural Science Foundation of China

ARC Discovery Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462944

Reference61 articles.

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2. Graph based anomaly detection and description: a survey

3. Richard J Bolton David J Hand etal 2001. Unsupervised profiling methods for fraud detection. Credit scoring and credit control VII (2001) 235--255. Richard J Bolton David J Hand et al. 2001. Unsupervised profiling methods for fraud detection. Credit scoring and credit control VII (2001) 235--255.

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