E-GCN: graph convolution with estimated labels
- Submitting institution
-
University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 87581703
- Type
- D - Journal article
- DOI
-
10.1007/s10489-020-02093-5
- Title of journal
- Applied Intelligence
- Article number
- -
- First page
- 1
- Volume
- n/a
- Issue
- n/a
- ISSN
- 0924-669X
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2021
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- Yes
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
B - Artificial Intelligence Research Centre
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <24> This research involved a collaboration with researchers from Hehai University in China and Ulster University in the UK. The research was supported by two research grants funded by National Natural Science Foundation of China, as listed in the paper.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -