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Mining Density Contrast Subgraphs
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Mining Density Contrast Subgraphs

Abstract

Dense subgraph discovery is a key primitive in many graph mining applications, such as detecting communities in social networks and mining gene correlation from biological data. Most studies on dense subgraph mining only deal with one graph. However, in many applications, we have more than one graph describing relations among a same group of entities. In this paper, given two graphs sharing the same set of vertices, we investigate the problem …

Authors

Yang Y; Chu L; Zhang Y; Wang Z; Pei J; Chen E

Pagination

pp. 221-232

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

April 1, 2018

DOI

10.1109/icde.2018.00029

Name of conference

2018 IEEE 34th International Conference on Data Engineering (ICDE)