Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs

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dc.contributor.authorKim, Jinwooko
dc.contributor.authorOh. Saeyoonko
dc.contributor.authorHong, Seunghoonko
dc.date.accessioned2021-11-09T06:45:11Z-
dc.date.available2021-11-09T06:45:11Z-
dc.date.created2021-11-02-
dc.date.issued2021-12-06-
dc.identifier.citationThirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)-
dc.identifier.urihttp://hdl.handle.net/10203/288994-
dc.languageEnglish-
dc.publisherNeural information processing systems foundation-
dc.titleTransformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationVirtual-
dc.contributor.localauthorHong, Seunghoon-
dc.contributor.nonIdAuthorKim, Jinwoo-
dc.contributor.nonIdAuthorOh. Saeyoon-
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CS-Conference Papers(학술회의논문)
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