{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T12:34:44Z","timestamp":1775478884804,"version":"3.50.1"},"reference-count":127,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1763452"],"award-info":[{"award-number":["IIS-1763452"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["LP160100630"],"award-info":[{"award-number":["LP160100630"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP180100966"],"award-info":[{"award-number":["DP180100966"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201506300082"],"award-info":[{"award-number":["201506300082"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Data61"},{"DOI":"10.13039\/501100000943","name":"Commonwealth Scientific and Industrial Research Organisation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000943","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2020,3,1]]},"DOI":"10.1109\/tbdata.2018.2850013","type":"journal-article","created":{"date-parts":[[2018,6,25]],"date-time":"2018-06-25T23:22:51Z","timestamp":1529968971000},"page":"3-28","source":"Crossref","is-referenced-by-count":488,"title":["Network Representation Learning: A Survey"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5715-7154","authenticated-orcid":false,"given":"Daokun","family":"Zhang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2063-8437","authenticated-orcid":false,"given":"Jie","family":"Yin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4129-9611","authenticated-orcid":false,"given":"Xingquan","family":"Zhu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1803-5768","authenticated-orcid":false,"given":"Chengqi","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Spectral graph wavelets for structural role similarity in networks","author":"donnat","year":"2017"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098061"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646094"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0210-x"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557109"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018667"},{"key":"ref37","first-page":"2508","article-title":"GraphGAN: Graph representation learning with generative adversarial nets","author":"wang","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref36","first-page":"2942","article-title":"Scalable graph embedding for asymmetric proximity","author":"zhou","year":"2017","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939751"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref28","first-page":"203","article-title":"Community preserving network embedding","author":"wang","year":"2017","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"7821","DOI":"10.1073\/pnas.122653799","article-title":"Community structure in social and biological networks","volume":"99","author":"girvan","year":"2002","journal-title":"Proc Natl Acad Sci United States America"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983756"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0072"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.03.022"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1140\/epjst\/e2016-60266-2"},{"key":"ref24","article-title":"A survey on network embedding","author":"cui","year":"2018","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref23","first-page":"52","article-title":"Representation learning on graphs: Methods and applications","author":"hamilton","year":"2017","journal-title":"IEEE Data Eng Bulletin"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132967"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806512"},{"key":"ref100","first-page":"2620","article-title":"COSINE: Community-preserving social network embedding from information diffusion cascades","author":"zhang","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"ref50","first-page":"1895","article-title":"Tri-party deep network representation","author":"pan","year":"2016","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983755"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2008.11.006"},{"key":"ref58","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref57","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Sci"},{"key":"ref56","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref55","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btu269"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.74.036104"},{"key":"ref52","first-page":"40","article-title":"Revisiting semi-supervised learning with graph embeddings","author":"yang","year":"2016","journal-title":"Proc 33rd Int Conf Int Conf Mach Learn"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132900"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","article-title":"Nonlinear dimensionality reduction by locally linear embedding","volume":"290","author":"roweis","year":"2000","journal-title":"Sci"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","article-title":"A global geometric framework for nonlinear dimensionality reduction","volume":"290","author":"tenenbaum","year":"2000","journal-title":"Sci"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref5","first-page":"585","article-title":"Laplacian eigenmaps and spectral techniques for embedding and clustering","author":"belkin","year":"2002","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983754"},{"key":"ref49","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1007\/978-3-319-55753-3_9","article-title":"Semi-supervised network embedding","author":"li","year":"2017","journal-title":"Proc Int Conf Database Syst Adv Appl"},{"key":"ref7","first-page":"2111","article-title":"Network representation learning with rich text information","author":"yang","year":"2015","journal-title":"Proc 24th Int Joint Conf Artif Intell"},{"key":"ref9","first-page":"1145","article-title":"Deep neural networks for learning graph representations","author":"cao","year":"2016","journal-title":"Proc 30th AAAI Conf Artif Intell"},{"key":"ref46","first-page":"3889","article-title":"Max-Margin DeepWalk: Discriminative learning of network representation","author":"tu","year":"2016","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1095"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983869"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1007\/978-3-319-48051-0_8","article-title":"TLINE: Scalable transductive network embedding","author":"zhang","year":"2016","journal-title":"Information Retrieval Technology"},{"key":"ref42","first-page":"2127","article-title":"HARP: Hierarchical representation learning for networks","author":"chen","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref41","first-page":"282","article-title":"Representation learning for scale-free networks","author":"feng","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55753-3_11"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/472"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132885"},{"key":"ref126","article-title":"Adversarially regularized graph autoencoder","author":"pan","year":"2018","journal-title":"Proc Int Joint Artif Intell Conf"},{"key":"ref125","first-page":"2167","article-title":"Adversarial network embedding","author":"dai","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159666"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/3012704"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1002\/asi.20591"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.04.047"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref77","article-title":"Finding and evaluating community structure in networks","volume":"69","author":"newman","year":"2004","journal-title":"Physics Rev"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2009.11.002"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2001.989507"},{"key":"ref78","doi-asserted-by":"crossref","first-page":"8577","DOI":"10.1073\/pnas.0601602103","article-title":"Modularity and community structure in networks","volume":"103","author":"newman","year":"2006","journal-title":"Proc Natl Acad Sci United States America"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281280"},{"key":"ref60","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/1644893.1644932"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289026"},{"key":"ref63","first-page":"1177","article-title":"Random features for large-scale kernel machines","author":"rahimi","year":"2008","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref64","first-page":"2237","article-title":"MedLDA: Maximum margin supervised topic models","volume":"13","author":"zhu","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref65","first-page":"1033","article-title":"Supervised dictionary learning","author":"mairal","year":"2009","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref66","first-page":"1871","article-title":"LIBLINEAR: A library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref67","first-page":"1188","article-title":"Distributed representations of sentences and documents","author":"le","year":"2014","journal-title":"Proc 31st Int Conf Mach Learn"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741643"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2013.08.002"},{"key":"ref69","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"hinton","year":"2012"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref109","first-page":"1025","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Adv in Neural Info Proc Syst"},{"key":"ref95","first-page":"307","article-title":"Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics","volume":"13","author":"gutmann","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref108","first-page":"571","article-title":"Dynamic network embedding by modeling triadic closure process","author":"zhou","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref94","first-page":"246","article-title":"Hierarchical probabilistic neural network language model","author":"morin","year":"2005","journal-title":"Proc 10th Int Workshop Artif Intell Statist"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132919"},{"key":"ref93","first-page":"1081","article-title":"A scalable hierarchical distributed language model","author":"mnih","year":"2009","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132975"},{"key":"ref92","first-page":"583","article-title":"Cluster ensembles—A knowledge reuse framework for combining multiple partitions","volume":"3","author":"strehl","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159706"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btr260"},{"key":"ref104","first-page":"3812","article-title":"Bernoulli embeddings for graphs","author":"misra","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref90","doi-asserted-by":"crossref","first-page":"637d","DOI":"10.1093\/nar\/gkm1001","article-title":"The BioGRID interaction database: 2008 update","volume":"36","author":"breitkreutz","year":"2008","journal-title":"Nucleic Acids Res"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159655"},{"key":"ref102","first-page":"475","article-title":"RSDNE: Exploring relaxed similarity and dissimilarity from completely-imbalanced labels for network embedding","author":"wang","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref111","article-title":"Deep feature learning for graphs","author":"rossi","year":"2017"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref110","first-page":"370","article-title":"DepthLGP: Learning embeddings of out-of-sample nodes in dynamic networks","author":"ma","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132925"},{"key":"ref99","first-page":"499","article-title":"Multi-facet network embedding: Beyond the general solution of detection and representation","author":"yang","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1016\/j.laa.2009.03.003"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/DCOSS.2011.5982158"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277825"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8462-3_5"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1016\/j.physa.2010.11.027","article-title":"Link prediction in complex networks: A survey","volume":"390","author":"l\u00fc","year":"2011","journal-title":"Physica A Statist Mech Applicat"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063744"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052601"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983711"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132918"},{"key":"ref16","first-page":"2355","article-title":"Distance-aware DAG embedding for proximity search on heterogeneous graphs","author":"liu","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526816"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159680"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883041"},{"key":"ref81","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref18","first-page":"2181","article-title":"Learning entity and relation embeddings for knowledge graph completion","author":"lin","year":"2015","journal-title":"Proc 29th AAAI Conf Artif Intell"},{"key":"ref84","first-page":"301","article-title":"Learning structured embeddings of knowledge bases","author":"bordes","year":"2011","journal-title":"Proc 25th AAAI Conf Artif Intell"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133021"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref83","first-page":"351","article-title":"Ensemble-spotting: Prioritizing vibrant communities via POI embedding with multi-view spatial graphs","author":"wang","year":"2018","journal-title":"Proc SIAM Int Conf Data Mining"},{"key":"ref114","article-title":"Heterogeneous information network embedding for meta path based proximity","author":"huang","year":"2017","journal-title":"arXiv 1701 05291"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783296"},{"key":"ref116","first-page":"426","article-title":"Structural deep embedding for hyper-networks","author":"tu","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/2945.841119"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132953"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1145\/1134271.1134277"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55753-3_12"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.37"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132905"},{"key":"ref85","first-page":"641","article-title":"GAKE: Graph aware knowledge embedding","author":"feng","year":"2016","journal-title":"Proc 26th Int Conf Comput Linguistics"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2011.12.021"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1402008"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217301"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6687317\/9016413\/8395024-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/9016413\/08395024.pdf?arnumber=8395024","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T09:37:57Z","timestamp":1751708277000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8395024\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,1]]},"references-count":127,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2018.2850013","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,1]]}}}