{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:21:58Z","timestamp":1761582118913,"version":"3.37.3"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876128","61832014","61772361"],"award-info":[{"award-number":["61876128","61832014","61772361"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"George Washington University Facilitating Fund","award":["FY21"],"award-info":[{"award-number":["FY21"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2022,8,1]]},"DOI":"10.1109\/tbdata.2021.3104005","type":"journal-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T20:06:10Z","timestamp":1628712370000},"page":"994-1006","source":"Crossref","is-referenced-by-count":6,"title":["A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1915-4179","authenticated-orcid":false,"given":"Dongxiao","family":"He","sequence":"first","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3754-359X","authenticated-orcid":false,"given":"Huixin","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8158-7453","authenticated-orcid":false,"given":"Zhiyong","family":"Feng","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5086-4964","authenticated-orcid":false,"given":"Xiaobao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7445-9936","authenticated-orcid":false,"given":"Di","family":"Jin","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"given":"Wenze","family":"Song","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9394-805X","authenticated-orcid":false,"given":"Yuxiao","family":"Huang","sequence":"additional","affiliation":[{"name":"Data Science, George Washington University, Washington, DC, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3104155"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.122653799"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.066133"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1409770111"},{"key":"ref6","first-page":"2252","article-title":"Modularity based community detection with deep learning.","volume-title":"Proc. 25th Int. Joint Conf. Artif. Intell.","author":"Yang"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972757.25"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1312486110"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms5630"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301152"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/486"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488483"},{"key":"ref13","first-page":"2083","article-title":"Nonnegative matrix tri-factorization with graph regularization for community detection in social networks","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Pei"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2010.55"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10489"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972818.39"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401957"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213894"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00168"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9977"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11281"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/jmlr.2003.3.4-5.993"},{"key":"ref23","first-page":"236","article-title":"Understanding belief propagation and its generalizations","volume":"8","author":"Yedidia","year":"2003","journal-title":"Exploring Artif. Int. New Millennium"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/18.910572"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-45528-0"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/794"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741676"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.95.022302"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/17\/1\/013044"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-6045-0"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.026113"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0903215107"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2815554"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2016.2605501"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.83.016107"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9159"},{"key":"ref37","first-page":"1981","article-title":"Mixed membership stochastic blockmodels","volume":"9","author":"Airoldi","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301160"},{"article-title":"CAGNN: Cluster-aware graph neural networks for unsupervised graph representation learning,","year":"2020","author":"Zhu","key":"ref39"},{"key":"ref40","first-page":"5241","article-title":"GMNN: Graph markov neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Qu","year":"2019"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3385415"},{"author":"Kipf","key":"ref42","article-title":"Semi-supervised classification with graph convolutional networks"},{"key":"ref43","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. 27th Int. Conf. Neural Inf. Process. Syst.","author":"Goodfellow"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403154"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/202"},{"article-title":"Beyond homophily in graph neural networks: Current limitations and effective designs","year":"2020","author":"Zhu","key":"ref46"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3465055"},{"article-title":"Neural machine translation by jointly learning to align and translate","year":"2014","author":"Bahdanau","key":"ref48"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n16-1174"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045336"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10003"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5447"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.185"},{"article-title":"End-to-end continuous speech recognition using attention-based recurrent NN: First results","year":"2014","author":"Chorowski","key":"ref54"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93040-4_18"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2005\/09\/P09008"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.217"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/9821020\/09511816.pdf?arnumber=9511816","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9511816\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,1]]},"references-count":57,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2021.3104005","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"type":"electronic","value":"2332-7790"},{"type":"electronic","value":"2372-2096"}],"subject":[],"published":{"date-parts":[[2022,8,1]]}}}