{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:20:25Z","timestamp":1775913625923,"version":"3.50.1"},"reference-count":161,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"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":["U20B2045"],"award-info":[{"award-number":["U20B2045"]}],"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":["62172052"],"award-info":[{"award-number":["62172052"]}],"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":["61772082"],"award-info":[{"award-number":["61772082"]}],"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":["62002029"],"award-info":[{"award-number":["62002029"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2021RC28"],"award-info":[{"award-number":["2021RC28"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"BUPT Excellent Ph.D. Students Foundation","award":["CX2020115"],"award-info":[{"award-number":["CX2020115"]}]},{"name":"BUPT Excellent Ph.D. Students Foundation","award":["CX2021311"],"award-info":[{"award-number":["CX2021311"]}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-2107172"],"award-info":[{"award-number":["IIS-2107172"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-2140785"],"award-info":[{"award-number":["IIS-2140785"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-2027127"],"award-info":[{"award-number":["IIS-2027127"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-2040144"],"award-info":[{"award-number":["IIS-2040144"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1951504"],"award-info":[{"award-number":["IIS-1951504"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1940859"],"award-info":[{"award-number":["CNS-1940859"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1814825"],"award-info":[{"award-number":["CNS-1814825"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["OAC-1940855"],"award-info":[{"award-number":["OAC-1940855"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NIJ","award":["2018-75-CX-0032"],"award-info":[{"award-number":["2018-75-CX-0032"]}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["III-1763325"],"award-info":[{"award-number":["III-1763325"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["III-1909323"],"award-info":[{"award-number":["III-1909323"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["III-2106758"],"award-info":[{"award-number":["III-2106758"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["SaTC-1930941"],"award-info":[{"award-number":["SaTC-1930941"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2023,4,1]]},"DOI":"10.1109\/tbdata.2022.3177455","type":"journal-article","created":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T19:40:18Z","timestamp":1653421218000},"page":"415-436","source":"Crossref","is-referenced-by-count":298,"title":["A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4444-7811","authenticated-orcid":false,"given":"Xiao","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"given":"Deyu","family":"Bo","sequence":"additional","affiliation":[{"name":"Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3734-0266","authenticated-orcid":false,"given":"Chuan","family":"Shi","sequence":"additional","affiliation":[{"name":"Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1224-4243","authenticated-orcid":false,"given":"Shaohua","family":"Fan","sequence":"additional","affiliation":[{"name":"Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6038-2173","authenticated-orcid":false,"given":"Yanfang","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, OH, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3491-5968","authenticated-orcid":false,"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Illinois at Chicago, Chicago, IL, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2481244.2481248"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2833443"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219965"},{"key":"ref4","first-page":"4821","article-title":"Heterogeneous graph attention networks for semi-supervised short text classification","volume-title":"Proc. Conf. Empir. Methods Natural Lang. Process.","author":"Hu"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.392"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301946"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098026"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132953"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014221"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0601602103"},{"issue":"9","key":"ref12","first-page":"12","article-title":"A reduction of a graph to a canonical form and an algebra arising during this reduction","volume":"2","author":"Weisfeiler","year":"1968","journal-title":"Nauchno-Technicheskaya Informatsia"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2598561"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2849727"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219986"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330970"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330673"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330686"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272010"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219862"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/576"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357875"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-47436-2_30"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271805"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2018.2850013"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.03.022"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2981333"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/677"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2020.3045924"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.14778\/3402707.3402736"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1126\/science.298.5594.824"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939815"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2992500"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10488"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93037-4_16"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2993870"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-45442-5_53"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018735"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219953"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806512"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219969"},{"key":"ref49","article-title":"A tutorial on distance metric learning: Mathematical foundations, algorithms and software","author":"Su\u00e1rez","year":"2018"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018723"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975321.16"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220006"},{"key":"ref54","first-page":"2787","article-title":"Translating embeddings for modeling multi-relational data","volume-title":"Proc. 26th Int. Conf. Neural Inf. Process. Syst.","author":"Bordes"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3191565"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783307"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/428"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1310.4546"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358061"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271777"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357893"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015337"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014456"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1090\/gsm\/034"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3096231"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11266"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0111"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357871"},{"key":"ref69","article-title":"Bidirectional LSTM-CRF models for sequence tagging","author":"Huang","year":"2015"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783296"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291001"},{"key":"ref72","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330964"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467415"},{"key":"ref75","article-title":"Heterogeneous deep graph infomax","author":"Ren","year":"2019"},{"key":"ref76","article-title":"Deep graph infomax","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Velickovic"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380297"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5833"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006097"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/190"},{"key":"ref83","article-title":"Graph transformer networks","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Yun"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806528"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159715"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488445"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098063"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507230"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/471"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/642"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/529"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976700.8"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102142"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976236.8"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403293"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186152"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357982"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357876"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/315"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313537"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186106"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403169"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.25"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939742"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1145\/775152.775191"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.2297920"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10486"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186073"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11885"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331273"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15712-8_2"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2942221"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67658-2_17"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1150"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.640"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16148-4_13"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9005556"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350966"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref121","article-title":"Hyperbolic graph convolutional neural networks","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Chami"},{"key":"ref122","article-title":"Hyperbolic graph neural networks","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00203"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380134"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/293"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11872"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403388"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00198"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357820"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1145\/3073559"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1145\/2046614.2046618"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/522"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2987019"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-03986-1"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403373"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403294"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1402008"},{"key":"ref139","article-title":"Variational graph auto-encoders","author":"Kipf","year":"2016"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220052"},{"key":"ref141","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf"},{"key":"ref142","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Veli\u010dkovi\u0107"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11604"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3090866"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6048"},{"key":"ref146","article-title":"Self-supervised graph representation learning via global context prediction","author":"Peng","year":"2020"},{"key":"ref147","first-page":"10871","article-title":"When does self-supervision help graph convolutional networks?","volume":"119","author":"You","year":"2020"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403237"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403168"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467396"},{"key":"ref151","first-page":"715","article-title":"Compositional fairness constraints for graph embeddings","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Bose"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.3000681"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/456"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.06083"},{"key":"ref155","first-page":"5927","article-title":"Learning disentangled representations with semi-supervised deep generative models","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Narayanaswamy"},{"key":"ref156","article-title":"Learning disentangled representations for recommendation","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Ma"},{"key":"ref157","article-title":"Biological systems as heterogeneous information networks: A mini-review and perspectives","author":"Tsuyuzaki","year":"2018"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070843"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/iaeac50856.2021.9390863"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313417"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358134"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6687317\/10068313\/9780569-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/10068313\/09780569.pdf?arnumber=9780569","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T05:19:38Z","timestamp":1715750378000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9780569\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,1]]},"references-count":161,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2022.3177455","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,1]]}}}