Sketch-Based Anomaly Detection in Streaming Graphs-Reference-Cited by-同舟云学术

Sketch-Based Anomaly Detection in Streaming Graphs

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Bhatia Siddharth¹^ORCID,Wadhwa Mohit²^ORCID,Kawaguchi Kenji³^ORCID,Shah Neil⁴^ORCID,Yu Philip S.⁵^ORCID,Hooi Bryan³^ORCID

Affiliation:

1. TurboML, Delhi, India

2. Google, Zurich, Switzerland

3. National University of Singapore, Singapore, Singapore

4. Snap Inc., Seattle, WA, USA

5. University of Illinois at Chicago, Chicago, IL, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599504

Reference67 articles.

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4. L. Akoglu , M. McGlohon , and C. Faloutsos , " Oddball: Spotting anomalies in weighted graphs," in PAKDD , 2010 . L. Akoglu, M. McGlohon, and C. Faloutsos, "Oddball: Spotting anomalies in weighted graphs," in PAKDD, 2010.

5. D. Chakrabarti , "Autopart : Parameter-free graph partitioning and outlier detection," in PKDD , 2004 . D. Chakrabarti, "Autopart: Parameter-free graph partitioning and outlier detection," in PKDD, 2004.

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