{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T18:30:29Z","timestamp":1772130629437,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"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":["61503285"],"award-info":[{"award-number":["61503285"]}],"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":["61772367"],"award-info":[{"award-number":["61772367"]}],"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":["U1936205"],"award-info":[{"award-number":["U1936205"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007219","name":"Municipal Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["17ZR1446000"],"award-info":[{"award-number":["17ZR1446000"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Program of Science and Technology Innovation Action of Science and Technology Commission of Shanghai Municipality","award":["17511105204"],"award-info":[{"award-number":["17511105204"]}]},{"name":"Program of Science and Technology Innovation Action of Science and Technology Commission of Shanghai Municipality","award":["19511120700"],"award-info":[{"award-number":["19511120700"]}]},{"DOI":"10.13039\/501100008838","name":"Shanghai Municipal Commission of Economy and Informatization","doi-asserted-by":"publisher","award":["18XI-05"],"award-info":[{"award-number":["18XI-05"]}],"id":[{"id":"10.13039\/501100008838","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong Research Grants Council through GRF","award":["CityU 11200317"],"award-info":[{"award-number":["CityU 11200317"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/tcyb.2020.2995595","type":"journal-article","created":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T20:28:38Z","timestamp":1591907318000},"page":"1785-1797","source":"Crossref","is-referenced-by-count":16,"title":["Link Weight Prediction Using Weight Perturbation and Latent Factor"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3107-7580","authenticated-orcid":false,"given":"Zhiwei","family":"Cao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9931-4733","authenticated-orcid":false,"given":"Yichao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2313-7635","authenticated-orcid":false,"given":"Jihong","family":"Guan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1949-2768","authenticated-orcid":false,"given":"Shuigeng","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1381-7418","authenticated-orcid":false,"given":"Guanrong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Review on graph feature learning and feature extraction techniques for link prediction","author":"Mutlu","year":"2019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2730207"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.12.006"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2900495"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-018-0501-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2013.2297401"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkg340"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.80.046122"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2018.02.010"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/srep22955"},{"issue":"5","key":"ref11","first-page":"1981","article-title":"Mixed-membership stochastic block models","volume":"9","author":"Airoldi","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/nature06830"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2010.11.027"},{"key":"ref14","first-page":"1300","article-title":"Learning probabilistic relational models","volume-title":"Proc. 16th Int. Joint Conf. Artif. Intell. (IJCAI)","author":"Friedman"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7432.003.0009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0199"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/89\/58007"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.03.022"},{"issue":"8","key":"ref19","first-page":"2234","article-title":"Link prediction algorithm based on network representation learning and random walk","volume":"37","author":"Liu","year":"2017","journal-title":"J. Comput. Appl."},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/117\/38002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.09.020"},{"issue":"12","key":"ref22","first-page":"2970","article-title":"Multi-nodes link prediction method based on deep convolution neural networks","volume":"46","author":"Shu","year":"2018","journal-title":"Acta Electronica Sinica"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2920268"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966076"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3097996"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.96.034101"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720008003497"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.046106"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2801854"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/srep12261"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/srep38080"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1093\/comnet\/cnu026"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/aac6f9"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-014-0789-0"},{"key":"ref35","volume-title":"Link Prediction","author":"L\u00fc","year":"2013"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2883436"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-14847-2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWAMTIP.2017.8301417"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1424644112"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2685521"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2565898"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2415257"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2897944"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2724769"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2180861.2180866"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2014.05.039"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1126\/science.1158684"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1038\/srep13707"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2017.11.078"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2011.02.002"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9733099\/09115235.pdf?arnumber=9115235","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T22:36:01Z","timestamp":1704839761000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9115235\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":50,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2020.2995595","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}