Real-Time PageRank on Dynamic Graphs

Author:

Sallinen Scott1ORCID,Luo Juntong1ORCID,Ripeanu Matei1ORCID

Affiliation:

1. The University of British Columbia, Vancouver, Canada

Publisher

ACM

Reference45 articles.

1. Monte Carlo Methods in PageRank Computation: When One Iteration is Sufficient

2. Bahman Bahmani , Abdur Chowdhury , and Ashish Goel . 2010. Fast incremental and personalized pagerank. arXiv preprint arXiv:1006.2880 ( 2010 ). Bahman Bahmani, Abdur Chowdhury, and Ashish Goel. 2010. Fast incremental and personalized pagerank. arXiv preprint arXiv:1006.2880 (2010).

3. Maciej Besta , Marc Fischer , Vasiliki Kalavri , Michael Kapralov , and Torsten Hoefler . 2020. Practice of streaming and dynamic graphs: Concepts, models, systems, and parallelism. arXiv ( 2020 ), 1912--12740. Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, and Torsten Hoefler. 2020. Practice of streaming and dynamic graphs: Concepts, models, systems, and parallelism. arXiv (2020), 1912--12740.

4. Inside PageRank

5. Sergey Brin and Lawrence Page . 1998. The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems , Vol. 30 , 1--7 ( 1998 ), 107--117. Sergey Brin and Lawrence Page. 1998. The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems, Vol. 30, 1--7 (1998), 107--117.

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1. Maximum Flow on Highly Dynamic Graphs;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. Going with the Flow: Real-Time Max-Flow on Asynchronous Dynamic Graphs;Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA);2023-06-18

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