{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:33:59Z","timestamp":1778348039028,"version":"3.51.4"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"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":["62172299"],"award-info":[{"award-number":["62172299"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010098","name":"Shanghai Science and Technology Committee","doi-asserted-by":"publisher","award":["22511105500"],"award-info":[{"award-number":["22511105500"]}],"id":[{"id":"10.13039\/100010098","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Projects in Zhejiang Province","award":["2022C02009"],"award-info":[{"award-number":["2022C02009"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Soc. Syst."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tcss.2023.3239034","type":"journal-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T19:30:39Z","timestamp":1675107039000},"page":"829-838","source":"Crossref","is-referenced-by-count":27,"title":["A Heterogeneous Graph Neural Network With Attribute Enhancement and Structure-Aware Attention"],"prefix":"10.1109","volume":"11","author":[{"given":"Shenghang","family":"Fan","sequence":"first","affiliation":[{"name":"School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7523-4827","authenticated-orcid":false,"given":"Guanjun","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Embedded System and Service Computing of Ministry of Education, Tongji University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5233-2192","authenticated-orcid":false,"given":"Jian","family":"Li","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Spectral networks and locally connected networks on graphs","author":"Bruna","year":"2013","journal-title":"arXiv:1312.6203"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219986"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018735"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/294"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401914"},{"key":"ref6","first-page":"1","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Defferrard"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.04.085"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380297"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3178416"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tnse.2022.3163144"},{"key":"ref12","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Glorot"},{"key":"ref13","first-page":"1","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Hamilton"},{"key":"ref14","first-page":"2641","article-title":"Learning conjoint attentions for graph neural nets","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"He"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358061"},{"key":"ref16","article-title":"Deep convolutional networks on graph-structured data","author":"Henaff","year":"2015","journal-title":"arXiv:1506.05163"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5833"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271777"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449914"},{"key":"ref21","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref22","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016","journal-title":"arXiv:1609.02907"},{"key":"ref23","article-title":"Diffusion improves graph learning","author":"Gasteiger","year":"2019","journal-title":"arXiv:1911.05485"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2398474"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357893"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2879624"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2019.2907563"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3074654"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSI53130.2021.9736204"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2938039"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2017.7510538"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2781138"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467350"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3191565"},{"key":"ref35","article-title":"Graph neural networks exponentially lose expressive power for node classification","author":"Oono","year":"2019","journal-title":"arXiv:1905.10947"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106817"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46227-1_38"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975321.16"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220006"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783307"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2006.70"},{"key":"ref42","article-title":"Graph attention networks","volume":"1050","author":"Velickovic","year":"2017","journal-title":"Stat"},{"key":"ref43","article-title":"Improving graph attention networks with large margin-based constraints","author":"Wang","year":"2019","journal-title":"arXiv:1910.11945"},{"key":"ref44","article-title":"Multi-hop attention graph neural network","author":"Wang","year":"2020","journal-title":"arXiv:2009.14332"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159666"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015337"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018723"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2018.2872574"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93037-4_16"},{"key":"ref52","article-title":"HAHE: Hierarchical attentive heterogeneous information network embedding","author":"Zhou","year":"2019","journal-title":"arXiv:1902.01475"}],"container-title":["IEEE Transactions on Computational Social Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570650\/10414252\/10032230.pdf?arnumber=10032230","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T19:07:43Z","timestamp":1733252863000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10032230\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":52,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcss.2023.3239034","relation":{},"ISSN":["2329-924X","2373-7476"],"issn-type":[{"value":"2329-924X","type":"electronic"},{"value":"2373-7476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}