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Community-based anomaly detection using spectral graph filtering. (arXiv:2201.09936v1 [cs.SI])
Jan. 26, 2022, 2:10 a.m. | Rodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento
cs.LG updates on arXiv.org arxiv.org
Several applications have a community structure where the nodes of the same
community share similar attributes. Anomaly or outlier detection in networks is
a relevant and widely studied research topic with applications in various
domains. Despite a significant amount of anomaly detection frameworks, there is
a dearth on the literature of methods that consider both attributed graphs and
the community structure of the networks. This paper proposes a community-based
anomaly detection algorithm using a spectral graph-based filter that includes
the …
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