AOT: Pushing the Efficiency Boundary of Main-Memory Triangle Listing-Reference-Cited by-同舟云学术

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AOT: Pushing the Efficiency Boundary of Main-Memory Triangle Listing

Published:2020 Issue: Volume: Page:516-533
ISSN:0302-9743
Container-title:Database Systems for Advanced Applications
language:
Short-container-title:

Author:

Yu Michael,Qin Lu,Zhang Ying,Zhang Wenjie,Lin Xuemin

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-59416-9_31

Reference27 articles.

1. Batagelj, V., Mrvar, A.: A subquadratic triad census algorithm for large sparse networks with small maximum degree. Soc. Netw. 23(3), 237–243 (2001)

2. Batagelj, V., Zaveršnik, M.: Generalized cores. arXiv preprint cs/0202039 (2002)

3. Becchetti, L., Boldi, P., Castillo, C., Gionis, A.: Efficient semi-streaming algorithms for local triangle counting in massive graphs. In: Proceedings of SIGKDD 2008 (2008)

4. Becchetti, L., Boldi, P., Castillo, C., Gionis, A.: Efficient algorithms for large-scale local triangle counting. TKDD 4(3), 1–28 (2010)

5. Berry, J.W., Hendrickson, B., LaViolette, R.A., Phillips, C.A.: Tolerating the community detection resolution limit with edge weighting. Phys. Rev. E 83(5), 056119 (2011)

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