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Graph Contrastive Multi-view Learning : A Pre-training Framework for Graph Classification

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dc.contributor.authorAdjeisah, Michael
dc.contributor.authorZhu, Xinzhong
dc.contributor.authorXu, Huiying
dc.contributor.authorAyall, Tewodros Alemu
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2024-08-01T14:53:01Z
dc.date.available2024-08-01T14:53:01Z
dc.date.issued2024-09-05
dc.descriptionCRediT authorship contribution statement Michael Adjeisah: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Writing – original draft, Visualization. Xinzhong Zhu: Resources, Writing – review & editing, Supervision, Funding acquisition. Huiying Xu: Resources, Supervision. Tewodros Alemu Ayall: Software, Validation, Formal analysis, Data curation.en
dc.description.statusPeer revieweden
dc.format.extent11
dc.format.extent1733866
dc.identifier291807506
dc.identifier3fe94fb2-b3ce-4c1a-8311-0f166e2b2ea6
dc.identifier85196502421
dc.identifier.citationAdjeisah, M, Zhu, X, Xu, H & Ayall, T A 2024, 'Graph Contrastive Multi-view Learning : A Pre-training Framework for Graph Classification', Knowledge-Based Systems, vol. 299, 112112. https://doi.org/10.1016/j.knosys.2024.112112en
dc.identifier.doi10.1016/j.knosys.2024.112112
dc.identifier.issn0950-7051
dc.identifier.urihttps://hdl.handle.net/2164/23957
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85196502421&partnerID=8YFLogxKen
dc.identifier.vol299en
dc.language.isoeng
dc.relation.ispartofKnowledge-Based Systemsen
dc.subjectContrastive learningen
dc.subjectGraph classificationen
dc.subjectGraph neural networken
dc.subjectMulti-view representation learningen
dc.subjectPre-trained embeddingsen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectSoftwareen
dc.subjectManagement Information Systemsen
dc.subjectInformation Systems and Managementen
dc.subjectArtificial Intelligenceen
dc.subject.lccQA75en
dc.titleGraph Contrastive Multi-view Learning : A Pre-training Framework for Graph Classificationen
dc.typeJournal articleen

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