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|Title:||Fast algorithms for maximal clique enumeration with limited memory||Authors:||Cheng, James
|Issue Date:||2012||Source:||Cheng, J., Zhu, L., Ke, Y., & Chu, S. (2012). Fast algorithms for maximal clique enumeration with limited memory. Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12, 1240-1248.||Abstract:||Maximal clique enumeration (MCE) is a long-standing problem in graph theory and has numerous important applications. Though extensively studied, most existing algorithms become impractical when the input graph is too large and is disk-resident. We first propose an efficient partition-based algorithm for MCE that addresses the problem of processing large graphs with limited memory. We then further reduce the high cost of CPU computation of MCE by a careful nested partition based on a cost model. Finally, we parallelize our algorithm to further reduce the overall running time. We verified the efficiency of our algorithms by experiments in large real-world graphs.||URI:||https://hdl.handle.net/10356/98958
|DOI:||10.1145/2339530.2339724||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||SCSE Conference Papers|
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