{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T18:22:35Z","timestamp":1774722155035,"version":"3.50.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"ARC Future Fellowship","award":["FT210100303"],"award-info":[{"award-number":["FT210100303"]}]},{"name":"ARC Discovery","award":["DP230101445"],"award-info":[{"award-number":["DP230101445"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102341"],"award-info":[{"award-number":["62102341"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Basic and Applied Basic Research Fund in Guangdong Province","award":["2022A1515010166"],"award-info":[{"award-number":["2022A1515010166"]}]},{"name":"Guangdong Talent Program","award":["2021QN02X826"],"award-info":[{"award-number":["2021QN02X826"]}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20220530143602006"],"award-info":[{"award-number":["JCYJ20220530143602006"]}]},{"name":"Shenzhen Science and Technology Program","award":["ZDSYS20211021111415025"],"award-info":[{"award-number":["ZDSYS20211021111415025"]}]},{"name":"ARC","award":["DP230101534"],"award-info":[{"award-number":["DP230101534"]}]},{"name":"Shenzhen Science and Technology Program","award":["JCYJ20200109113201726"],"award-info":[{"award-number":["JCYJ20200109113201726"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872108"],"award-info":[{"award-number":["61872108"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2023,12,1]]},"DOI":"10.1109\/tkde.2023.3271425","type":"journal-article","created":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T18:26:51Z","timestamp":1682706411000},"page":"12693-12707","source":"Crossref","is-referenced-by-count":12,"title":["GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0027-942X","authenticated-orcid":false,"given":"Linhao","family":"Luo","sequence":"first","affiliation":[{"name":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5047-8593","authenticated-orcid":false,"given":"Yixiang","family":"Fang","sequence":"additional","affiliation":[{"name":"School of Data Science, Chinese University of Hong Kong, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8410-8263","authenticated-orcid":false,"given":"Moli","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3519-7013","authenticated-orcid":false,"given":"Xin","family":"Cao","sequence":"additional","affiliation":[{"name":"University of New South Wales, Sydney, NSW, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9740-1796","authenticated-orcid":false,"given":"Xiaofeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Harbin Institute of Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6572-2600","authenticated-orcid":false,"given":"Wenjie","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of New South Wales, Sydney, NSW, Australia"}]}],"member":"263","reference":[{"key":"ref13","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref12","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref15","first-page":"1637","article-title":"Interpretable and efficient heterogeneous graph convolutional network","volume":"35","author":"yang","year":"2023","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref53","article-title":"Supervised community detection with line graph neural networks","author":"chen","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132953"},{"key":"ref11","article-title":"Meta-path guided embedding for similarity search in large-scale heterogeneous information networks","author":"shang","year":"2016"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref54","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17283"},{"key":"ref16","article-title":"How powerful are graph neural networks?","author":"xu","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108274"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46547-0_20"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/2872518.2889400"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5747"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref48","first-page":"18 661","article-title":"Supervised contrastive learning","author":"khosla","year":"2020","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref42","author":"duren","year":"1970","journal-title":"Theory of H p Spaces"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/234034a0"},{"key":"ref44","article-title":"Heterogeneous deep graph infomax","author":"ren","year":"2019"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-17316-5_32"},{"key":"ref49","first-page":"585","article-title":"Graph-based consensus maximization among multiple supervised and unsupervised models","author":"gao","year":"2009","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974348.70"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.14778\/3402707.3402736"},{"key":"ref9","article-title":"AVGSIM: Relevance measurement on massive data in heterogeneous networks","volume":"84","author":"xiao","year":"2016","journal-title":"J Theor Appl Inf Technol"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775126"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2018.02.212"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.2297920"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646025"},{"key":"ref40","first-page":"35","article-title":"Modern information retrieval: A brief overview","volume":"24","author":"singhal","year":"2001","journal-title":"IEEE Data Eng Bull"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3206343"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref37","article-title":"Graph attention networks","author":"veli?kovi?","year":"2017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref31","first-page":"3225","article-title":"Effective similarity search on heterogeneous networks: A meta-path free approach","volume":"34","author":"wang","year":"2022","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220085"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2012.07.007"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/775152.775191"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380297"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330673"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482250"},{"key":"ref23","first-page":"2065","article-title":"Why do semantically unrelated categories appear in the same session? A demand-aware method","author":"yang","year":"2022","journal-title":"Proc Int ACM SIGIR Conf Res Develop Inf Retrieval"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1131"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2019.2942323"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3068344"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63833-7_9"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-020-00479-8"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052576"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107683"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105458"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10311056\/10111040.pdf?arnumber=10111040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T20:54:04Z","timestamp":1702328044000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10111040\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,1]]},"references-count":55,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2023.3271425","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,1]]}}}