dc.contributor.author | Xu, Minkai | |
dc.contributor.author | Liu, Meng | |
dc.contributor.author | Jin, Wengong | |
dc.contributor.author | Ji, Shuiwang | |
dc.contributor.author | Leskovec, Jure | |
dc.contributor.author | Ermon, Stefano | |
dc.date.accessioned | 2023-09-12T16:40:31Z | |
dc.date.available | 2023-09-12T16:40:31Z | |
dc.date.issued | 2023-08-06 | |
dc.identifier.isbn | 979-8-4007-0103-0 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/152101 | |
dc.publisher | ACM|Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining | en_US |
dc.relation.isversionof | https://doi.org/10.1145/3580305.3599559 | en_US |
dc.rights | Article 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.source | Association for Computing Machinery | en_US |
dc.title | Graph and Geometry Generative Modeling for Drug Discovery | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Xu, Minkai, Liu, Meng, Jin, Wengong, Ji, Shuiwang, Leskovec, Jure et al. 2023. "Graph and Geometry Generative Modeling for Drug Discovery." | |
dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
dc.identifier.mitlicense | PUBLISHER_POLICY | |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2023-09-01T07:47:14Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | The author(s) | |
dspace.date.submission | 2023-09-01T07:47:14Z | |
mit.license | PUBLISHER_POLICY | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |