[ 1 ] GONZALEZ J E, LOW Y, GU H J, et al. PowerGraph: Distributed graph-parallel computation on natural graphs [C]//Proceedings of the 10th USENIX Conference on Operating Systems Design and Implementation. 2012: 17-30.
[ 2 ] KYROLA A, BLELLOCH G, GUESTRIN C. GraphChi: Large-scale graph computation on just a PC [C]//Proceedings of the 10th USENIX Conference on Operating Systems Design and Implementation. 2012: 31-46.
[ 3 ] LOW Y, GONZALEZ J E, KYROLA A, et al. GraphLab: A new framework for parallel machine learning [J]. Computer Science, 2014: arXiv: 1408. 2041 [cs. LG].
[ 4 ] VALIANT L G. A bridging model for parallel computation [J]. Communications of the ACM, 1990, 33(8): 103-111.
[ 5 ] MALEWICZ G, AUSTERN M H, BIK A J C, et al. Pregel: A system for large-scale graph processing [C]//Proceedings of the 28th ACM Symposium on Principles of Distributed Computing. 2009: 6-16.
[ 6 ] Kamvar S, Haveliwala T, Golub G. Adaptive methods for the computation of PageRank [J]. Linear Algebra and its Applications, 2004, 386: 51-65.