Publication:
Improving Network Delay Predictions Using GNNs
| dc.contributor.author | Farreras, Miquel | |
| dc.contributor.author | Soto Arenas, Paola | |
| dc.contributor.author | Camelo Botero, Miguel | |
| dc.contributor.author | Fabrega, Lluis | |
| dc.contributor.author | Vila, Pere | |
| dc.contributor.imecauthor | Soto Arenas, Paola | |
| dc.contributor.imecauthor | Camelo Botero, Miguel | |
| dc.contributor.orcidimec | Soto Arenas, Paola::0000-0001-5906-6424 | |
| dc.contributor.orcidimec | Camelo Botero, Miguel::0000-0001-8152-7143 | |
| dc.date.accessioned | 2023-12-15T16:42:13Z | |
| dc.date.available | 2023-08-04T17:07:06Z | |
| dc.date.available | 2023-12-15T16:42:13Z | |
| dc.date.embargo | 2023-07-20 | |
| dc.date.issued | 2023 | |
| dc.description.wosFundingText | Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This project has received funding from the Generalitat de Catalunya through the Consolidated Research Group 2017-SGR-1318 and 2017-SGR-1552, the Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya for the FI-SDUR fellowship funding 2020 FISDU00590 assigned to Miquel Farreras, the Scientific Research Flanders (FWO) under grant agreement no. G055619N, and the European Union's Horizon 2020 research and innovation program under grant agreement no. 101017109 'DAEMON'. | |
| dc.identifier.doi | 10.1007/s10922-023-09758-9 | |
| dc.identifier.issn | 1064-7570 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/42266 | |
| dc.publisher | SPRINGER | |
| dc.source.beginpage | Art.65 | |
| dc.source.endpage | NA | |
| dc.source.issue | 4 | |
| dc.source.journal | JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT | |
| dc.source.numberofpages | 36 | |
| dc.source.volume | 31 | |
| dc.subject.keywords | ALLOCATION | |
| dc.subject.keywords | INTERNET | |
| dc.title | Improving Network Delay Predictions Using GNNs | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
| Files | Original bundle
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