{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T08:53:31Z","timestamp":1772787211369,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Guangdong Applied Research and Development Program","award":["2015B010131006"],"award-info":[{"award-number":["2015B010131006"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176269"],"award-info":[{"award-number":["62176269"]}],"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":["11801595"],"award-info":[{"award-number":["11801595"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2019A1515011043"],"award-info":[{"award-number":["2019A1515011043"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"UX Center, Netease Games"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1109\/tnnls.2021.3116936","type":"journal-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T21:26:22Z","timestamp":1634160382000},"page":"4296-4307","source":"Crossref","is-referenced-by-count":12,"title":["SHNE: Semantics and Homophily Preserving Network Embedding"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8832-1754","authenticated-orcid":false,"given":"Ziyang","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7048-3445","authenticated-orcid":false,"given":"Chuan","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}]},{"given":"Yaomin","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}]},{"given":"Weibo","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}]},{"given":"Xingxing","family":"Xing","sequence":"additional","affiliation":[{"name":"NetEase, Inc., Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0497-0835","authenticated-orcid":false,"given":"Yuren","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7872-7718","authenticated-orcid":false,"given":"Zibin","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Self-attention graph pooling","author":"lee","year":"2019","journal-title":"arXiv 1904 08082"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/ijms20143389"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330982"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380083"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref52","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-020-3378-0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/380"},{"key":"ref54","first-page":"1","article-title":"Visualizing data using T-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref16","article-title":"Graph convolutional matrix completion","author":"van den berg","year":"2017","journal-title":"arXiv 1706 02263"},{"key":"ref19","article-title":"Neural message passing for quantum chemistry","author":"gilmer","year":"2017","journal-title":"arXiv 1704 01212"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"ref51","article-title":"Automatic differentiation in Pytorch","author":"paszke","year":"2017"},{"key":"ref50","article-title":"On the equivalence of decoupled graph convolution network and label propagation","author":"dong","year":"2020","journal-title":"arXiv 2010 12408"},{"key":"ref46","article-title":"Graph attention networks","author":"veli?kovi?","year":"2017","journal-title":"arXiv 1710 10903"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref48","article-title":"MixHop: Higher-order graph convolutional architectures via sparsified neighborhood mixing","author":"abu-el-haija","year":"2019","journal-title":"arXiv 1905 00067"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291015"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/RT.2006.280219"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.35940\/ijeat.E9666.069520"},{"key":"ref44","first-page":"1","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc ICML"},{"key":"ref43","first-page":"950","article-title":"Multi-probe LSH: Efficient indexing for high-dimensional similarity search","author":"lv","year":"2007","journal-title":"Proc Int'I Conf Very Large Data Bases (VLDB)"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16514"},{"key":"ref8","article-title":"A survey on heterogeneous graph embedding: Methods, techniques, applications and sources","author":"wang","year":"2020","journal-title":"arXiv 2011 14867"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2933850"},{"key":"ref4","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"arXiv 1609 02907"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403177"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref5","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/DISCOVER.2016.7806253"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00072"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358134"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018989"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00936"},{"key":"ref30","article-title":"How powerful are graph neural networks?","author":"xu","year":"2018","journal-title":"arXiv 1810 00826"},{"key":"ref33","first-page":"1","article-title":"DropEdge: Towards deep graph convolutional networks on node classification","author":"rong","year":"2019","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403076"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105698"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3388924"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380214"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401308"},{"key":"ref24","article-title":"Representation learning on graphs with jumping knowledge networks","author":"xu","year":"2018","journal-title":"arXiv 1806 03536"},{"key":"ref23","article-title":"Graph neural networks with convolutional ARMA filters","author":"bianchi","year":"2019","journal-title":"arXiv 1901 01343"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006463"},{"key":"ref25","article-title":"Geom-GCN: Geometric graph convolutional networks","author":"pei","year":"2020","journal-title":"arXiv 2002 05287"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11604"},{"key":"ref22","article-title":"Adaptive propagation graph convolutional network","author":"spinelli","year":"2020","journal-title":"arXiv 2002 10306"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1126\/science.aad9029"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3341161.3342859"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10208115\/09568649.pdf?arnumber=9568649","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:57:06Z","timestamp":1692640626000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9568649\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":54,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3116936","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8]]}}}