{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T21:21:19Z","timestamp":1776720079449,"version":"3.51.2"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019YFB2102404"],"award-info":[{"award-number":["2019YFB2102404"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876128"],"award-info":[{"award-number":["61876128"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61832014"],"award-info":[{"award-number":["61832014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772361"],"award-info":[{"award-number":["61772361"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972442"],"award-info":[{"award-number":["61972442"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Project of Hebei Province of China","award":["20350802D"],"award-info":[{"award-number":["20350802D"]}]},{"name":"Key Research and Development Project of Hebei Province of China","award":["20310802D"],"award-info":[{"award-number":["20310802D"]}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province of China","doi-asserted-by":"publisher","award":["F2020202040"],"award-info":[{"award-number":["F2020202040"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin of China","doi-asserted-by":"publisher","award":["20JCYBJC00650"],"award-info":[{"award-number":["20JCYBJC00650"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong Global STEM Professorship Scheme and the Hong Kong Jockey Club STEM Laboratory Initiative Fund"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1109\/tnnls.2022.3149997","type":"journal-article","created":{"date-parts":[[2022,3,2]],"date-time":"2022-03-02T20:29:34Z","timestamp":1646252974000},"page":"4438-4450","source":"Crossref","is-referenced-by-count":43,"title":["Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1915-4179","authenticated-orcid":false,"given":"Dongxiao","family":"He","sequence":"first","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8350-353X","authenticated-orcid":false,"given":"Chundong","family":"Liang","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4914-4577","authenticated-orcid":false,"given":"Cuiying","family":"Huo","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8158-7453","authenticated-orcid":false,"given":"Zhiyong","family":"Feng","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7445-9936","authenticated-orcid":false,"given":"Di","family":"Jin","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6291-4359","authenticated-orcid":false,"given":"Liang","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"}]},{"given":"Weixiong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3104155"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2598561"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref5","first-page":"11960","article-title":"Graph transformer networks","volume-title":"Proc. NeurIPS","author":"Yun"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380297"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2481244.2481248"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105861"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/190"},{"key":"ref11","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. ICLR","author":"Kipf"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM51629.2021.00095"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3011866"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3106804"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107868"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.14778\/3402707.3402736"},{"key":"ref17","article-title":"Meta-path guided embedding for similarity search in large-scale heterogeneous information networks","volume-title":"arXiv:1610.09769","author":"Shang","year":"2016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5833"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref21","first-page":"1","article-title":"Composition-based multi-relational graph convolutional networks","volume-title":"Proc. ICLR","author":"Vashishth"},{"key":"ref22","first-page":"530","article-title":"Mutual information neural estimation","volume-title":"Proc. ICML","volume":"80","author":"Belghazi"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3031549"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/technologies9010002"},{"key":"ref25","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"Proc. ICML","author":"Chen"},{"key":"ref26","first-page":"9912","article-title":"Unsupervised learning of visual features by contrasting cluster assignments","volume-title":"Proc. NeurIPS","author":"Caron"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref28","first-page":"1","article-title":"Deep graph contrastive representation learning","volume-title":"Proc. ICML","author":"Zhu"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449802"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463056"},{"key":"ref31","first-page":"17641","article-title":"Learning to mutate with hypergradient guided population","volume-title":"Proc. NeurIPS","author":"Tao"},{"key":"ref32","article-title":"Graph contrastive learning automated","volume-title":"arXiv:2106.07594","author":"You","year":"2021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20871"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403168"},{"key":"ref35","first-page":"5812","article-title":"Graph contrastive learning with augmentations","volume-title":"Proc. NeurIPS","author":"You"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2023.3303885"},{"issue":"7","key":"ref37","first-page":"38","article-title":"Distilling the knowledge in a neural network","volume":"14","author":"Hinton","year":"2015","journal-title":"Comput. Sci."},{"key":"ref38","first-page":"1607","article-title":"Born again neural networks","volume-title":"Proc. ICML","author":"Furlanello"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467415"},{"key":"ref40","first-page":"19075","article-title":"Handling missing data with graph representation learning","volume-title":"Proc. NeurIPS","author":"You"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.11.016"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3032189"},{"key":"ref43","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. ICML","author":"Arjovsky"},{"key":"ref44","first-page":"2672","article-title":"Generative adversarial networks","volume-title":"Proc. NeurIPS","author":"Goodfellow"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449914"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330941"},{"key":"ref48","first-page":"1","article-title":"Efficient estimation of word representations in vector space","volume-title":"Proc. ICLR","author":"Mikolov"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2022.3172903"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014456"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref53","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. ICLR","author":"Velickovic"},{"key":"ref54","first-page":"1","article-title":"Variational graph auto-encoders","volume-title":"Proc. NeurIPS Workshop Bayesian Deep Learn.","author":"Kipf"},{"key":"ref55","first-page":"1","article-title":"Deep graph infomax","volume-title":"Proc. ICLR","author":"Velickovic"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380112"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.3166\/ejc.7.311-327"},{"key":"ref58","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10492491\/09724614.pdf?arnumber=9724614","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,9]],"date-time":"2024-04-09T19:40:27Z","timestamp":1712691627000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9724614\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":58,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3149997","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4]]}}}