{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T07:29:22Z","timestamp":1784100562642,"version":"3.55.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"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":["62072391"],"award-info":[{"award-number":["62072391"]}],"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":["62066013"],"award-info":[{"award-number":["62066013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Yantai","award":["2020XDRH092"],"award-info":[{"award-number":["2020XDRH092"]}]},{"DOI":"10.13039\/100008992","name":"Doctoral Startup Fund of Yantai University","doi-asserted-by":"publisher","award":["JS19B77"],"award-info":[{"award-number":["JS19B77"]}],"id":[{"id":"10.13039\/100008992","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shandong Key Laboratory of Marine Ecological Restoration","award":["201920"],"award-info":[{"award-number":["201920"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Soc. Syst."],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1109\/tcss.2022.3189368","type":"journal-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T19:34:56Z","timestamp":1657913696000},"page":"1394-1401","source":"Crossref","is-referenced-by-count":89,"title":["Internet Financial Fraud Detection Based on Graph Learning"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2649-2547","authenticated-orcid":false,"given":"Ranran","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer and Control Engineering, Yantai University, Yantai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0179-815X","authenticated-orcid":false,"given":"Zhaowei","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer and Control Engineering, Yantai University, Yantai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanqing","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Computer and Control Engineering, Yantai University, Yantai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer and Control Engineering, Yantai University, Yantai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuaijie","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer and Control Engineering, Yantai University, Yantai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411903"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401253"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1126\/science.290.5500.2323"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3490181"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3166655"},{"key":"ref10","first-page":"294","article-title":"Contextual graph Markov model: A deep and generative approach to graph processing","author":"bacciu","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806512"},{"key":"ref16","first-page":"1","article-title":"Laplacian eigenmaps and spectral techniques for embedding and clustering","volume":"14","author":"belkin","year":"2001","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939751"},{"key":"ref46","first-page":"1593","article-title":"Multi-class learning: From theory to algorithm","volume":"31","author":"li","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098061"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3398071"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-36938-5_26"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.2968505"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3177898"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-7993-3_14"},{"key":"ref49","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":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11691"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186116"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2010350"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.01.007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s21051594"},{"key":"ref6","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"arXiv 1609 02907"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1198\/016214504000000287"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00070"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3084924"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12328"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2021.113633"},{"key":"ref36","article-title":"Graph-based modeling of online communities for fake news detection","author":"chandra","year":"2020","journal-title":"arXiv 2008 06274"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04167-0_33"},{"key":"ref30","article-title":"GaAN: Gated attention networks for learning on large and spatiotemporal graphs","author":"zhang","year":"2018","journal-title":"arXiv 1803 07294"},{"key":"ref33","article-title":"Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting","author":"yu","year":"2017","journal-title":"arXiv 1709 04875"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.573"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1693\/1\/012064"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bushor.2019.10.004"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3308560.3316586"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412046"},{"key":"ref24","first-page":"1106","article-title":"Learning steady-states of iterative algorithms over graphs","author":"dai","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.3024557"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2004.837783"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/72.572108"},{"key":"ref28","article-title":"Variational graph auto-encoders","author":"kipf","year":"2016","journal-title":"arXiv 1611 07308"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10179"},{"key":"ref29","article-title":"HGATE: Heterogeneous graph attention auto-encoders","author":"wang","year":"2021","journal-title":"IEEE Trans Knowl Data Eng"}],"container-title":["IEEE Transactions on Computational Social Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6570650\/10132891\/09831118.pdf?arnumber=9831118","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T18:15:39Z","timestamp":1687198539000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9831118\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":49,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tcss.2022.3189368","relation":{},"ISSN":["2329-924X","2373-7476"],"issn-type":[{"value":"2329-924X","type":"electronic"},{"value":"2373-7476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6]]}}}