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Scalable motif-aware graph clustering.
Proceedings of the 26th International Conference on World Wide Web, pp.1451-1460, (2017)
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Abstract
We develop new methods based on graph motifs for graph clustering, allowing more efficient detection of communities within networks. We focus on triangles within graphs, but our techniques extend to other clique motifs as well. Our intuition, which has been suggested but not formalized similarly in previous works, is that triangles are a ...More
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