GERWkNN: GPU-accelerated Exact Random Walk-based kNN Query in Large Graphs

Author:

Li Yuan1ORCID,Zhao Xinhao1ORCID,Chen Anzhi1ORCID,Yang Guoli2ORCID,Song Wei1ORCID

Affiliation:

1. North China University of Technology, China

2. Advanced Institute of Big Data, China

Publisher

ACM

Reference27 articles.

1. Chakrabarti, D., Zhan, Y., & Faloutsos, C. (2004, April). R-MAT: A recursive model for graph mining. In Proceedings of the 2004 SIAM International Conference on Data Mining (pp. 442-446). Society for Industrial and Applied Mathematics.

2. A survey on proximity measures for social networks;Cohen S.;Search Computing: Broadening Web Search,2012

3. Erdős, P., & Rényi, A. (1960). On the evolution of random graphs. Publ. math. inst. hung. acad. sci, 5(1), 17-60.

4. Efficient ad-hoc search for personalized PageRank

5. Garcia, V., Debreuve, E., & Barlaud, M. (2008, June). Fast k nearest neighbor search using GPU. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 1-6). IEEE.

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