{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T22:40:35Z","timestamp":1773528035869,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"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":["61803269"],"award-info":[{"award-number":["61803269"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672358"],"award-info":[{"award-number":["61672358"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572330"],"award-info":[{"award-number":["61572330"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772393"],"award-info":[{"award-number":["61772393"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61836009"],"award-info":[{"award-number":["61836009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2020A1515010790"],"award-info":[{"award-number":["2020A1515010790"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Technology Research Project of Shenzhen City","award":["JCYJ20190808174801673"],"award-info":[{"award-number":["JCYJ20190808174801673"]}]},{"name":"Public Technology Platform of Shenzhen city","award":["GGFW2018021118145859"],"award-info":[{"award-number":["GGFW2018021118145859"]}]},{"name":"CONACyT","award":["1920"],"award-info":[{"award-number":["1920"]}]},{"name":"Fronteras de la Ciencia"},{"name":"SEP-Cinvestav 2018 Project"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1109\/tetci.2020.3035937","type":"journal-article","created":{"date-parts":[[2020,11,20]],"date-time":"2020-11-20T20:37:07Z","timestamp":1605904627000},"page":"136-149","source":"Crossref","is-referenced-by-count":14,"title":["SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1201-8051","authenticated-orcid":false,"given":"Lijia","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuchun","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2415-0401","authenticated-orcid":false,"given":"Qiuzhen","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1985-938X","authenticated-orcid":false,"given":"Junkai","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8435-680X","authenticated-orcid":false,"given":"Carlos A. Coello","family":"Coello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0415-8556","authenticated-orcid":false,"given":"Maoguo","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1109521108"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref3","article-title":"Representation learning on graphs: Methods and applications","author":"Hamilton","year":"2017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2018.2850013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2018.2848293"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2950935"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2019.2944002"},{"key":"ref8","first-page":"2252","article-title":"Modularity based community detection with deep learning","volume-title":"Proc. 25th Int. Joint Conf. Artif. Intell.","author":"Yang","year":"2016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10488"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2018.2866239"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2937455"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref15","first-page":"1024","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton","year":"2017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2822283"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.01.027"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911417"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911450"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2846646"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11872"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2020.2991774"},{"key":"ref23","first-page":"1486","article-title":"Deep generative image models using a Laplacian pyramid of adversarial networks","volume-title":"Proc. 29th Int. Conf. Neural Inf. Process. Syst.","author":"Denton","year":"2015"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2019.2892748"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2020.2977678"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2895748"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2985081"},{"key":"ref28","first-page":"82","article-title":"Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling","volume-title":"Proc. 29th Int. Conf. Neural Inf. Process. Syst.","author":"Wu","year":"2016"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313564"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/489"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271768"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330970"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-18576-3_32"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2932996"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.37"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93037-4_13"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2871503"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132905"},{"key":"ref39","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. 27th Int. Conf. Neural Inf. Process. Syst.","author":"Goodfellow","year":"2014"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080786"},{"key":"ref41","first-page":"3528","article-title":"Gradient estimation using stochastic computation graphs","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","author":"Schulman","year":"2015"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"ref43","volume-title":"Introduction to Algorithms","author":"Cormen","year":"2009"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.80.016118"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2305974"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1086\/soutjanth.10.1.3629074"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1080\/07388940490463861"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1126\/science.298.5594.824"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753532"},{"issue":"2","key":"ref50","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1023\/A:1010920819831","article-title":"A simple generalisation of the area under the ROC curve for multiple class classification problems","volume":"45","author":"Hand","year":"2001","journal-title":"Mach. Learn."},{"issue":"1","key":"ref51","first-page":"37","article-title":"Evaluation: From precision, recall and F-measure to ROC, informedness, markedness and correlation","volume":"2","author":"Power","year":"2011","journal-title":"J. Mach. Learn. Technol."},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2458037"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2893614"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2412037"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2020.2973141"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2894283"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7433297\/9687848\/09265292.pdf?arnumber=9265292","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:30:03Z","timestamp":1704843003000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9265292\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2]]},"references-count":56,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2020.3035937","relation":{},"ISSN":["2471-285X"],"issn-type":[{"value":"2471-285X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2]]}}}