Accelerating Personalized PageRank Vector Computation-Reference-Cited by-同舟云学术

Accelerating Personalized PageRank Vector Computation

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Chen Zhen¹^ORCID,Guo Xingzhi²^ORCID,Zhou Baojian¹^ORCID,Yang Deqing¹^ORCID,Skiena Steven²^ORCID

Affiliation:

1. Fudan University, Shanghai, China

2. State University of New York at Stony Brook, New York, NY, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599251

Reference53 articles.

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2. Zeyuan Allen-Zhu , Zheng Qu , Peter Richtárik , and Yang Yuan . 2016 . Even faster accelerated coordinate descent using non-uniform sampling . In International Conference on Machine Learning. PMLR, 1110--1119 . Zeyuan Allen-Zhu, Zheng Qu, Peter Richtárik, and Yang Yuan. 2016. Even faster accelerated coordinate descent using non-uniform sampling. In International Conference on Machine Learning. PMLR, 1110--1119.

3. Reid Andersen , Christian Borgs , Jennifer Chayes , John Hopcraft , Vahab S Mirrokni , and Shang-Hua Teng . 2007. Local computation of PageRank contributions . In WAW , Vol. 4863 . Springer , 150--165. Reid Andersen, Christian Borgs, Jennifer Chayes, John Hopcraft, Vahab S Mirrokni, and Shang-Hua Teng. 2007. Local computation of PageRank contributions. In WAW, Vol. 4863. Springer, 150--165.

4. Robust PageRank and locally computable spam detection features

5. Local Graph Partitioning using PageRank Vectors

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