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http://bura.brunel.ac.uk/handle/2438/24936Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Huang, Y | - |
| dc.contributor.author | Huang, J | - |
| dc.contributor.author | Chen, X | - |
| dc.contributor.author | Wang, Q | - |
| dc.contributor.author | Meng, H | - |
| dc.date.accessioned | 2022-07-19T15:41:14Z | - |
| dc.date.available | 2022-07-19T15:41:14Z | - |
| dc.date.issued | 2022-07-19 | - |
| dc.identifier.citation | Huang, Y., Huang, J., Chen, X., Wang, Q., and Meng, H. (2022) 'An end-to-end heterogeneous network for graph similarity learning', Neurocomputing, 504, pp. 210 - 222. doi: 10.1016/j.neucom.2022.07.001. | en_US |
| dc.identifier.issn | 0925-2312 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24936 | - |
| dc.description.sponsorship | Shenzhen Science and Technology Projects (Grant No. JCYJ20200109143035495). | - |
| dc.format.extent | 210 - 222 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language | English | - |
| dc.publisher | Elsevier BV | en_US |
| dc.rights | Copyright © 2022 Elsevier B.V.. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.neucom.2022.07.001, made available on this repository under a Creative Commons CC BY-NC-ND attribution licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). | - |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
| dc.subject | deep similarity learning | en_US |
| dc.subject | graph convolution | en_US |
| dc.subject | heterogeneous network | en_US |
| dc.title | An End-to-End Heterogeneous Network for Graph Similarity Learning | en_US |
| dc.type | Article | en_US |
| dc.identifier.doi | https://doi.org/10.1016/j.neucom.2022.07.001 | - |
| dc.relation.isPartOf | Neurocomputing | - |
| pubs.publication-status | Published | - |
| pubs.volume | 504 | - |
| dc.identifier.eissn | 1872-8286 | - |
| dc.rights.holder | Elsevier B.V. | - |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Embargoed Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 19 July 2024 | 1.98 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License
