{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T17:42:56Z","timestamp":1772300576488,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Hong Kong Ph.D. Fellowship Scheme","award":["PF14-11856"],"award-info":[{"award-number":["PF14-11856"]}]},{"name":"PolyU UGC Project","award":["P0030970"],"award-info":[{"award-number":["P0030970"]}]},{"name":"Innovative Technology Fund","award":["MRP\/015\/18"],"award-info":[{"award-number":["MRP\/015\/18"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1109\/tnnls.2020.2995483","type":"journal-article","created":{"date-parts":[[2020,6,4]],"date-time":"2020-06-04T20:00:57Z","timestamp":1591300857000},"page":"1935-1948","source":"Crossref","is-referenced-by-count":78,"title":["Network Together: Node Classification via Cross-Network Deep Network Embedding"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0937-049X","authenticated-orcid":false,"given":"Xiao","family":"Shen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7578-2738","authenticated-orcid":false,"given":"Quanyu","family":"Dai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2490-2896","authenticated-orcid":false,"given":"Sitong","family":"Mao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5294-8168","authenticated-orcid":false,"given":"Fu-Lai","family":"Chung","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0836-7088","authenticated-orcid":false,"given":"Kup-Sze","family":"Choi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080646"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2124295.2124382"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271788"},{"key":"ref32","article-title":"On generalizing neural node embedding methods to multi-network problems","author":"heimann","year":"2017","journal-title":"Proc KDD MLG Workshop"},{"key":"ref31","first-page":"1293","article-title":"Learning deep representations for graph clustering","author":"tian","year":"2014","journal-title":"Proc AAAI"},{"key":"ref30","first-page":"2177","article-title":"Neural word embedding as implicit matrix factorization","author":"levy","year":"2014","journal-title":"Proc NIPS"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488517"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939766"},{"key":"ref35","first-page":"1774","article-title":"Aligning users across social networks using network embedding","author":"liu","year":"2016","journal-title":"Proc IJCAI"},{"key":"ref34","first-page":"1823","article-title":"Predict anchor links across social networks via an embedding approach","author":"man","year":"2016","journal-title":"Proc IJCAI"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098061"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.soc.27.1.415"},{"key":"ref29","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2816981"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","article-title":"A survey on transfer learning","volume":"22","author":"jialin pan","year":"2010","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/438"},{"key":"ref22","first-page":"1895","article-title":"Tri-party deep network representation","author":"pan","year":"2016","journal-title":"Proc IJCAI"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0072"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/467"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975321.18"},{"key":"ref26","first-page":"40","article-title":"Revisiting semi-supervised learning with graph embeddings","author":"yang","year":"2016","journal-title":"Proc ICML"},{"key":"ref25","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc ICLR"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/0098-3004(93)90090-R"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/312624.312647"},{"key":"ref55","author":"sch\u00fctze","year":"2008","journal-title":"Introduction to Information Retrieval"},{"key":"ref54","first-page":"1187","article-title":"Domain adaptation via transfer component analysis","author":"pan","year":"2009","journal-title":"Proc IJCAI"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1402008"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806501"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3110025.3110035"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2931272"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2861209"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2871503"},{"key":"ref17","first-page":"731","article-title":"Label informed attributed network embedding","author":"hu","year":"2017","journal-title":"Proc 10th ACM Int Conf Web Search Data Mining (WSDM)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783296"},{"key":"ref19","first-page":"2111","article-title":"Network representation learning with rich text information","author":"yang","year":"2015","journal-title":"Proc IJCAI"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210155"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2820174"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1029"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2874567"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806512"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2669975"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2017.06.003"},{"key":"ref9","first-page":"1145","article-title":"Deep neural networks for learning graph representations","author":"cao","year":"2016","journal-title":"Proc AAAI"},{"key":"ref46","first-page":"513","article-title":"A kernel method for the two-sample-problem","author":"gretton","year":"2007","journal-title":"Proc NIPS"},{"key":"ref45","first-page":"258","article-title":"Don&#x2019;t walk, skip!: Online learning of multi-scale network embeddings","author":"perozzi","year":"2017","journal-title":"Proc IEEE\/ACM Int Conf Adv Social Netw Anal Mining"},{"key":"ref48","article-title":"Deep transfer network: Unsupervised domain adaptation","author":"zhang","year":"2015","journal-title":"arXiv 1503 00591"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.549"},{"key":"ref42","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Proc NIPS"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.116"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313445"},{"key":"ref43","first-page":"2167","article-title":"Adversarial network embedding","author":"dai","year":"2018","journal-title":"Proc AAAI"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9420773\/09108549.pdf?arnumber=9108549","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:17Z","timestamp":1652194397000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9108549\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":56,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2020.2995483","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5]]}}}