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Cited by 19Graph Theory and AlgorithmsAdvanced Database Systems and QueriesBig Data Technologies and Applications

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Big graphs: challenges and opportunities

Fan, Wenfei·2022·Proceedings of the VLDB Endowment
DOI 10.14778/3554821.3554899
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Abstract

Big data is typically characterized with 4V's: Volume, Velocity, Variety and Veracity. When it comes to big graphs, these challenges become even more staggering. Each and every of the 4V's raises new questions, from theory to systems and practice. Is it possible to parallelize sequential graph algorithms and guarantee the correctness of the parallelized computations? Given a computational problem, does there exist a parallel algorithm for it that guarantees to reduce parallel runtime when more machines are used? Is there a systematic method for developing incremental algorithms with effectiveness guarantees in response to frequent updates? Is it possible to write queries across relational databases and semistructured graphs in SQL? Can we unify logic rules and machine learning, to improve the quality of graph-structured data, and deduce associations between entities? This paper aims to incite interest and curiosity in these topics. It raises as many questions as it answers.

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Metadata

Authors
Fan, W.
Affiliations
Beihang University (CN)
Corresponding author
Fan, Wenfei
ORCID
Fan, Wenfei
Venue
Proceedings of the VLDB Endowment
Publisher
Association for Computing Machinery (ACM)
Published
2022-08
Volume
15
Issue
12
Pages
3782-3797
ISSN
2150-8097 (ISSN-L)
DOI
10.14778/3554821.3554899
OpenAlex
W4313121840
Cited by
19
References
0
Citations by year
2026: 2 · 2025: 4 · 2024: 7 · 2023: 6
FWCI
1.39
Type
journal article
Language
en
Open access
closed
Locations
Proceedings of the VLDB Endowment (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Graph Theory and Algorithms
  • Physical Sciences › Computer Science › Information Systems › Advanced Database Systems and Queries
  • Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
Keywords
large-scale graphs, graph algorithms, parallel graph algorithms, incremental algorithms, graph updates, graph query processing, relational databases, logical rules, machine learning, entity association

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Fan, W. (2022). Big graphs: challenges and opportunities. Proceedings of the VLDB Endowment. https://doi.org/10.14778/3554821.3554899