Publication:

RR-GCN: Exploring Untrained Random Embeddings for Relational Graphs

 
dc.contributor.authorRamachandra, Sandeep
dc.contributor.authorDegraeve, Vic
dc.contributor.authorVandewiele, Gilles
dc.contributor.authorSteenwinckel, Bram
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.authorOngenae, Femke
dc.contributor.imecauthorRamachandra, Sandeep
dc.contributor.imecauthorDegraeve, Vic
dc.contributor.imecauthorVandewiele, Gilles
dc.contributor.imecauthorSteenwinckel, Bram
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.imecauthorOngenae, Femke
dc.contributor.orcidimecRamachandra, Sandeep::0000-0001-5505-4362
dc.contributor.orcidimecDegraeve, Vic::0000-0001-6127-7036
dc.contributor.orcidimecVandewiele, Gilles::0000-0001-9531-0623
dc.contributor.orcidimecSteenwinckel, Bram::0000-0002-3488-2334
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.contributor.orcidimecOngenae, Femke::0000-0003-2529-5477
dc.date.accessioned2025-06-11T11:00:28Z
dc.date.available2025-05-30T04:56:58Z
dc.date.available2025-06-11T11:00:28Z
dc.date.issued2025
dc.description.wosFundingTextThe authors wish to thank David Vander Mijnbrugge and Michael Weyns for their valuable inputs during the paper review. This study was partially funded by the Flemish Government under the Flanders Artificial Intelligence Research Program and the VLAIO O&O ADAM project with AZ Delta (HBC.2020.323).
dc.identifier.doi10.1142/S0218194025500184
dc.identifier.issn0218-1940
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45735
dc.publisherWORLD SCIENTIFIC PUBL CO PTE LTD
dc.source.beginpage1
dc.source.endpage26
dc.source.issue/
dc.source.journalINTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
dc.source.numberofpages26
dc.source.volume2025
dc.title

RR-GCN: Exploring Untrained Random Embeddings for Relational Graphs

dc.typeJournal article
dspace.entity.typePublication
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