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dc.contributor.authorXu, Minkai
dc.contributor.authorLiu, Meng
dc.contributor.authorJin, Wengong
dc.contributor.authorJi, Shuiwang
dc.contributor.authorLeskovec, Jure
dc.contributor.authorErmon, Stefano
dc.date.accessioned2023-09-12T16:40:31Z
dc.date.available2023-09-12T16:40:31Z
dc.date.issued2023-08-06
dc.identifier.isbn979-8-4007-0103-0
dc.identifier.urihttps://hdl.handle.net/1721.1/152101
dc.publisherACM|Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Miningen_US
dc.relation.isversionofhttps://doi.org/10.1145/3580305.3599559en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleGraph and Geometry Generative Modeling for Drug Discoveryen_US
dc.typeArticleen_US
dc.identifier.citationXu, Minkai, Liu, Meng, Jin, Wengong, Ji, Shuiwang, Leskovec, Jure et al. 2023. "Graph and Geometry Generative Modeling for Drug Discovery."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-09-01T07:47:14Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-09-01T07:47:14Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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