An efficient uncertain graph processing framework for heterogeneous architectures-Reference-Cited by-同舟云学术

An efficient uncertain graph processing framework for heterogeneous architectures

Published:2021-02-17 Issue: Volume: Page:
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Container-title:Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
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Author:

Zhang Heng¹,Li Lingda²,Zhuang Donglin³,Liu Rui⁴,Song Shuang⁵,Tao Dingwen⁶,Wu Yanjun⁷,Song Shuaiwen Leon³

Affiliation:

1. University of Sydney

2. Brookhaven National Laboratory

3. University of Sydney, Sydney, Australia

4. University of Chicago

5. Facebook Inc.

6. Washington State University

7. Chinese Academy of Sciences, Beijing, China

Funder

University of Sydney Computer Science start-up funding

Australian Research Council (ARC) Discovery Project

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3437801.3441584

Reference16 articles.

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2. Computational Complexity of Network Reliability Analysis: An Overview

3. Groute

4. DistR: A Distributed Method for the Reachability Query over Large Uncertain Graphs

5. A Comparison of Four Monte Carlo Methods for Estimating the Probability of s-t Connectedness

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