Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/24052| Title: | An Empirical Evaluation of Approaches for Link Prediction |
| Authors: | Lu, K |
| Keywords: | link prediction;similarity score;graph learning |
| Issue Date: | 2022 |
| Publisher: | Springer Nature |
| Citation: | Huang, T., Zhou, L., Lü, K., Wang, L., Chen, H. and Du, G. (2022) 'An Empirical Evaluation of Approaches for Link Prediction', Information Systems Frontiers, 0 (in press), pp. 1-1. |
| URI: | https://bura.brunel.ac.uk/handle/2438/24052 |
| ISSN: | 1387-3326 |
| Appears in Collections: | Brunel Business School Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Abstract.pdf | Embargoed until 12 months after publication | 134.9 kB | Adobe PDF | View/Open |
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