{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T03:20:48Z","timestamp":1774495248935,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1652492"],"award-info":[{"award-number":["1652492"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["FA8750-20-2-1004"],"award-info":[{"award-number":["FA8750-20-2-1004"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","award":["W911NF-17-1-0448"],"award-info":[{"award-number":["W911NF-17-1-0448"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2023,4,1]]},"DOI":"10.1109\/tkde.2022.3140252","type":"journal-article","created":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T20:32:37Z","timestamp":1641328357000},"page":"4281-4292","source":"Crossref","is-referenced-by-count":2,"title":["The Infinity Mirror Test for Graph Models"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1669-6594","authenticated-orcid":false,"given":"Satyaki","family":"Sikdar","sequence":"first","affiliation":[{"name":"Department of Computer Science &amp; Engineering, University of Notre Dame, Notre Dame, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2676-1452","authenticated-orcid":false,"given":"Daniel Gonzalez","family":"Cedre","sequence":"additional","affiliation":[{"name":"Department of Computer Science &amp; Engineering, University of Notre Dame, Notre Dame, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2929-5880","authenticated-orcid":false,"given":"Trenton W.","family":"Ford","sequence":"additional","affiliation":[{"name":"Department of Computer Science &amp; Engineering, University of Notre Dame, Notre Dame, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3164-2615","authenticated-orcid":false,"given":"Tim","family":"Weninger","sequence":"additional","affiliation":[{"name":"Department of Computer Science &amp; Engineering, University of Notre Dame, Notre Dame, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1515\/9781400841356.38"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.252631999"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/30918"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1126\/science.286.5439.509"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1209\/epl\/i2001-00260-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.67.026112"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.78.046110"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SocialCom-PASSAT.2012.130"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2659480.2659495"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9207"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1137\/130914218"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.83.016107"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0215296"},{"key":"ref14","article-title":"Adapting the stochastic block model to edge-weighted networks","author":"Aicher","year":"2013","journal-title":"Proc. Int. Conf. Mach. Learn., Workshop Struct. Learn."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.90.012805"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.92.042807"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevX.4.011047"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.socnet.2006.08.002"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898719918.ch9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273559"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/15427951.2012.680824"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2810877"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00066"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006204"},{"key":"ref25","first-page":"5708","article-title":"GraphRNN: Generating realistic graphs with deep auto-regressive models","author":"You","year":"2018","journal-title":"Proc. Int. Conf. Mach. Learn."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67658-2_19"},{"key":"ref27","article-title":"Variational graph auto-encoders","volume-title":"in Proc. Neural Inf. Process. Syst. Workshop Bayesian Deep Learn.","author":"Kipf"},{"key":"ref28","article-title":"Learning deep generative models of graphs","author":"Li","journal-title":"Proc. Int. Conf. Learn. Representations Workshop"},{"key":"ref29","first-page":"11960","article-title":"Graph transformer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yun"},{"key":"ref30","article-title":"NetGan: Generating graphs via random walks","author":"Bojchevski","year":"2018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972832.18"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2824443"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-21532-5"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-019-0156-x"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.03.011"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2015.141"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl301"},{"key":"ref38","article-title":"The infinity mirror test for analyzing the robustness of graph generators","volume-title":"Proc. KDD Workshop Mining Learn. Graphs.","author":"Aguinaga"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2450142.2450149"},{"key":"ref40","first-page":"2302","article-title":"Scalable deep generative modeling for sparse graphs","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Dai"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.85.056109"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.83.016107"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983826"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-53708-y"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/81\/68004"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/15\/6\/063008"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/69\/10063074\/9669099-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10063074\/09669099.pdf?arnumber=9669099","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T22:08:43Z","timestamp":1705183723000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9669099\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,1]]},"references-count":46,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2022.3140252","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":[[2023,4,1]]}}}