{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T04:52:36Z","timestamp":1775883156383,"version":"3.50.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"UNIL\/CHUV Postdoc mobility"},{"name":"University of Lausanne, Switzerland"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tkde.2026.3660933","type":"journal-article","created":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T20:56:28Z","timestamp":1770152188000},"page":"2848-2864","source":"Crossref","is-referenced-by-count":0,"title":["Generating Synthetic Human Mobility Graphs Using Deep Neural Networks With Utility and Privacy Preservation"],"prefix":"10.1109","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4678-4141","authenticated-orcid":false,"given":"Behnaz","family":"Bostanipour","sequence":"first","affiliation":[{"name":"Computer Science &#x0026; Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102893"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/PASSAT\/SocialCom.2011.142"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3121165"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3121096"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2843298"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2346496.2346498"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3477314.3507230"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599888"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3412862"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3409071"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2024.2381146"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3589132.3625657"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00089"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.6339\/21-JDS1004"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467158"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/530"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.15439\/2019F320"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1515\/popets-2016-0034"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66172-4_7"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102310"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133056"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2922002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2015.23032"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380201"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533743"},{"key":"ref28","article-title":"Python code for the present paper evaluation","year":"2025"},{"key":"ref29","article-title":"Context and semantic aware location privacy","author":"A\u011fir","year":"2016"},{"key":"ref30","article-title":"Graphgen implementation","year":"2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.39"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/nature06958"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1524261113"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/app12125834"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/SISY.2018.8524674"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1561\/0400000042"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.14778\/3055540.3055542"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2007.66"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-96-8298-0_9"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1140\/epjds\/s13688-022-00372-4"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/9203076"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2939203"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3485125"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2022.101910"},{"key":"ref47","article-title":"DiGress: Discrete denoising diffusion for graph generation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Vignac","year":"2023"},{"key":"ref48","first-page":"4585","article-title":"Efficient and degree-guided graph generation via discrete diffusion modeling","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen","year":"2023"},{"key":"ref49","article-title":"NVDiff: Graph generation through the diffusion of node vectors","author":"Chen","year":"2022"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/11479420\/11370692.pdf?arnumber=11370692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T04:19:44Z","timestamp":1775881184000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11370692\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":49,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2026.3660933","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}