{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:39:00Z","timestamp":1761061140162,"version":"3.37.3"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876138"],"award-info":[{"award-number":["61876138"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3022664","type":"journal-article","created":{"date-parts":[[2020,9,8]],"date-time":"2020-09-08T19:46:32Z","timestamp":1599594392000},"page":"165631-165645","source":"Crossref","is-referenced-by-count":7,"title":["SR-HGAT: Symmetric Relations Based Heterogeneous Graph Attention Network"],"prefix":"10.1109","volume":"8","author":[{"given":"Zhenghao","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8433-263X","authenticated-orcid":false,"given":"Jianbin","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinglin","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref30","first-page":"5753","article-title":"Xlnet: Generalized autoregressive pretraining for language understanding","author":"yang","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2849727"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.03.022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2200\/S00433ED1V01Y201207DMK005"},{"key":"ref14","article-title":"Meta-path guided embedding for similarity search in large-scale heterogeneous information networks","author":"shang","year":"2016","journal-title":"arXiv 1610 09769"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219862"},{"key":"ref16","first-page":"1797","article-title":"HIN2 Vec: Explore meta-paths in heterogeneous information networks for representation learning","author":"fu","year":"2017","journal-title":"Proc ACM Conf Inf Knowl Manage"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018735"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2833443"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2005.1555942"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"ref4","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"arXiv 1609 02907"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref6","article-title":"Graph attention networks","author":"velickovic","year":"2017","journal-title":"arXiv 1710 10903"},{"key":"ref29","article-title":"HuggingFace&#x2019;s transformers: State-of-the-art natural language processing","author":"wolf","year":"2019","journal-title":"arXiv 1910 03771"},{"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":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939751"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref9","first-page":"203","article-title":"Community preserving network embedding","author":"wang","year":"2017","journal-title":"Proc AAAI"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref22","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","article-title":"Deep convolutional networks on graph-structured data","author":"henaff","year":"2015","journal-title":"arXiv 1506 05163"},{"key":"ref24","article-title":"Fastgcn: Fast learning with graph convolutional networks via importance sampling","author":"chen","year":"2018","journal-title":"arXiv 1801 10247"},{"key":"ref23","article-title":"Spectral networks and locally connected networks on graphs","author":"bruna","year":"2013","journal-title":"arXiv 1312 6203"},{"key":"ref26","first-page":"4212","article-title":"Disentangled graph convolutional networks","author":"ma","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref25","article-title":"Stochastic training of graph convolutional networks with variance reduction","author":"chen","year":"2017","journal-title":"arXiv 1710 10568"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09187768.pdf?arnumber=9187768","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:06:49Z","timestamp":1662667609000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9187768\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3022664","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}