{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T02:49:25Z","timestamp":1768531765801,"version":"3.49.0"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS2022-00155586"],"award-info":[{"award-number":["RS2022-00155586"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2020-0-01373"],"award-info":[{"award-number":["2020-0-01373"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2022-0-00352"],"award-info":[{"award-number":["2022-0-00352"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2023,11,1]]},"DOI":"10.1109\/tkde.2022.3231104","type":"journal-article","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T18:53:48Z","timestamp":1671648828000},"page":"10937-10951","source":"Crossref","is-referenced-by-count":2,"title":["A Framework for Accurate Community Detection on Signed Networks Using Adversarial Learning"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5892-2265","authenticated-orcid":false,"given":"David Y.","family":"Kang","sequence":"first","affiliation":[{"name":"School of Information, University of Michigan, Ann Arbor, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Woncheol","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Hanyang University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8769-0678","authenticated-orcid":false,"given":"Yeon-Chang","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyungsik","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Intelligence Computing, Hanyang University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6345-9084","authenticated-orcid":false,"given":"Sang-Wook","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Hanyang University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412145"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014221"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220090"},{"key":"ref5","first-page":"2252","article-title":"Modularity based community detection with deep learning","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Yang"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313564"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.09.002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3176816"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2960222"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371806"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2849727"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/956863.956972"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271743"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00662"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753532"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2930690"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.1061"},{"key":"ref20","first-page":"1","article-title":"Clustering signed networks with the geometric mean of laplacians","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Mercado"},{"key":"ref21","first-page":"1828","article-title":"Spectral clustering of signed graphs via matrix power means","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Mercado"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2684809"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.80.016114"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2871503"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1037\/h0046049"},{"key":"ref26","volume-title":"Algorithms for Clustering Data","author":"Jain","year":"1988"},{"key":"ref27","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","volume-title":"Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Mining","author":"Ester"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2377154"},{"key":"ref29","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Goodfellow"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.physrep.2009.11.002","article-title":"Attitudes and cognitive organization","volume":"486","author":"Fortunato","year":"2010","journal-title":"Phys. Rep."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6120"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271697"},{"issue":"2004","key":"ref33","first-page":"1457","article-title":"Non-negative matrix factorization with sparseness constraints","volume":"5","author":"Hoyer","year":"2004","journal-title":"J. Mach. Learn. Res."},{"key":"ref34","first-page":"2205","article-title":"Modeling community detection using slow mixing random walks","volume-title":"Proc. IEEE Int. Conf. Big Data","author":"Paravi"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.164"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133004"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2005\/09\/P09008"},{"key":"ref38","volume-title":"Data Mining: Concepts and Techniques","author":"Han","year":"2011"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2492517.2492641"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330850"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401079"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11872"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref44","first-page":"773","article-title":"\u201cbridge\u201d enhanced signed directed network embedding","volume-title":"Proc. ACM Int. Conf. Inf. Knowl. Manage.","author":"Chen"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5911"},{"key":"ref46","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref47","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Veli\u010dkovi\u0107"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380038"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16093"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512171"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10273671\/09996133.pdf?arnumber=9996133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T02:28:54Z","timestamp":1705026534000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9996133\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,1]]},"references-count":50,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2022.3231104","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":[[2023,11,1]]}}}