Outlier Detection in Graphs and Networks
Graphs represent one of the most powerful and general forms of data representation. These structures are used to express diverse data, ranging from multidimensional entity-relation graphs, the Web, social networks, communication networks, and biological and chemical compounds.
KeywordsHash Function Adjacency Matrix Matrix Factorization Outlier Detection Anomaly Detection
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