Fast Exact CoSimRank Search on Evolving and Static Graphs
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 24376183
- Type
- E - Conference contribution
- DOI
-
10.1145/3178876.3186126
- Title of conference / published proceedings
- WWW '18 Proceedings of the 2018 World Wide Web Conference
- First page
- 599
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
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A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presented in a CORE rank A* conference. We propose a novel dynamic scheme for fast accurate CoSimRank retrieval on evolving graphs. Our solution is 3–5 orders of magnitude faster than the best-known competitors, and scales well on million-node graphs, with no compromise of any accuracy for speedup. This research has impacted on work by world-leading experts on web information retrieval and graph database systems, including Jennifer Widom (Stanford), Michael Stonebraker (MIT), Jamie Callan (CMU).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
