Pure Transformers are Powerful Graph Learners

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dc.contributor.authorKim, Jinwooko
dc.contributor.authorNguyen, Tien Datko
dc.contributor.authorMin, Seonwooko
dc.contributor.authorCho, Sungjunko
dc.contributor.authorLee, Moontaeko
dc.contributor.authorLee, Honglakko
dc.contributor.authorHong, Seunghoonko
dc.date.accessioned2022-11-23T02:02:03Z-
dc.date.available2022-11-23T02:02:03Z-
dc.date.created2022-11-02-
dc.date.created2022-11-02-
dc.date.created2022-11-02-
dc.date.issued2022-11-29-
dc.identifier.citationThirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)-
dc.identifier.urihttp://hdl.handle.net/10203/300572-
dc.languageEnglish-
dc.publisherNeural information processing systems foundation-
dc.titlePure Transformers are Powerful Graph Learners-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationThe New Orleans Convention Center-
dc.contributor.localauthorHong, Seunghoon-
dc.contributor.nonIdAuthorKim, Jinwoo-
dc.contributor.nonIdAuthorNguyen, Tien Dat-
dc.contributor.nonIdAuthorMin, Seonwoo-
dc.contributor.nonIdAuthorCho, Sungjun-
dc.contributor.nonIdAuthorLee, Moontae-
dc.contributor.nonIdAuthorLee, Honglak-
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CS-Conference Papers(학술회의논문)
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