Multi-representations Space Separation based Graph-level Anomaly-aware Detection-Reference-Cited by-同舟云学术

Multi-representations Space Separation based Graph-level Anomaly-aware Detection

Published:2023-07-10 Issue: Volume: Page:
ISSN:
Container-title:35th International Conference on Scientific and Statistical Database Management
language:
Short-container-title:

Author:

Lin Fu¹^ORCID,Gong Haonan¹^ORCID,Li Mingkang¹^ORCID,Wang Zitong¹^ORCID,Zhang Yue¹^ORCID,Luo Xuexiong²^ORCID

Affiliation:

1. School of Computer Science, Wuhan University, China, China

2. School of Computing, Macquarie University, Australia, Australia

Funder

Wuhan University People?s Hospital Cross-Innovation Talent Project Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603719.3603739

Reference46 articles.

1. Leman Akoglu , Hanghang Tong , and Danai Koutra . 2015. Graph based anomaly detection and description: a survey. Data mining and knowledge discovery 29 ( 2015 ), 626–688. Leman Akoglu, Hanghang Tong, and Danai Koutra. 2015. Graph based anomaly detection and description: a survey. Data mining and knowledge discovery 29 (2015), 626–688.

2. Markus M Breunig Hans-Peter Kriegel Raymond T Ng and Jörg Sander. 2000. LOF: identifying density-based local outliers. In SIGMOD. 93–104. Markus M Breunig Hans-Peter Kriegel Raymond T Ng and Jörg Sander. 2000. LOF: identifying density-based local outliers. In SIGMOD. 93–104.

3. Bo Chen , Jing Zhang , Xiaokang Zhang , Yuxiao Dong , Jian Song , Peng Zhang , Kaibo Xu , Evgeny Kharlamov , and Jie Tang . 2022 . GCCAD: Graph Contrastive Learning for Anomaly Detection . IEEE Transactions on Knowledge and Data Engineering ( 2022). Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, and Jie Tang. 2022. GCCAD: Graph Contrastive Learning for Anomaly Detection. IEEE Transactions on Knowledge and Data Engineering (2022).

4. Jinghui Chen , Saket Sathe , Charu Aggarwal , and Deepak Turaga . 2017. Outlier detection with autoencoder ensembles . In SDM. SIAM , 90–98. Jinghui Chen, Saket Sathe, Charu Aggarwal, and Deepak Turaga. 2017. Outlier detection with autoencoder ensembles. In SDM. SIAM, 90–98.

5. Jinyin Chen , Xueke Wang , and Xuanheng Xu. 2022. GC-LSTM: Graph convolution embedded LSTM for dynamic network link prediction. Applied Intelligence ( 2022 ), 1–16. Jinyin Chen, Xueke Wang, and Xuanheng Xu. 2022. GC-LSTM: Graph convolution embedded LSTM for dynamic network link prediction. Applied Intelligence (2022), 1–16.

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