Random walk with restart over dynamic graphs
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21355041
- Type
- E - Conference contribution
- DOI
-
10.1109/ICDM.2016.0070
- Title of conference / published proceedings
- Proceedings: 16th IEEE International Conference on Data Mining, ICDM 2016
- First page
- 589
- Volume
- -
- Issue
- -
- ISSN
- 2374-8486
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2017
- 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)
-
A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presented in a CORE rank A* conference.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
