Conference
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)