{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T21:49:01Z","timestamp":1775425741634,"version":"3.50.1"},"reference-count":52,"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":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872241"],"award-info":[{"award-number":["61872241"]}],"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":["61572316"],"award-info":[{"award-number":["61572316"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019YFB1703600"],"award-info":[{"award-number":["2019YFB1703600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004377","name":"The Hong Kong Polytechnic University","doi-asserted-by":"publisher","award":["P0030419"],"award-info":[{"award-number":["P0030419"]}],"id":[{"id":"10.13039\/501100004377","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004377","name":"The Hong Kong Polytechnic University","doi-asserted-by":"publisher","award":["P0030929"],"award-info":[{"award-number":["P0030929"]}],"id":[{"id":"10.13039\/501100004377","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004377","name":"The Hong Kong Polytechnic University","doi-asserted-by":"publisher","award":["P0035358"],"award-info":[{"award-number":["P0035358"]}],"id":[{"id":"10.13039\/501100004377","id-type":"DOI","asserted-by":"publisher"}]}],"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.2021.3116209","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T22:30:46Z","timestamp":1633905046000},"page":"4499-4513","source":"Crossref","is-referenced-by-count":213,"title":["BaGFN: Broad Attentive Graph Fusion Network for High-Order Feature Interactions"],"prefix":"10.1109","volume":"34","author":[{"given":"Zhifeng","family":"Xie","sequence":"first","affiliation":[{"name":"Department of Film and Television Engineering, Shanghai University, Shanghai, China"}]},{"given":"Wenling","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Film and Television Engineering, Shanghai University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8510-2556","authenticated-orcid":false,"given":"Bin","family":"Sheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1503-0240","authenticated-orcid":false,"given":"Ping","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5451-7230","authenticated-orcid":false,"given":"C. L. Philip","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380266"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3124749.3124754"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330691"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186066"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959134"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080777"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/239"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357925"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347043"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357951"},{"key":"ref14","first-page":"1","article-title":"Gated graph sequence neural networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Li"},{"key":"ref15","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kipf"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2716952"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3233770"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450078"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5768"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/435"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102076"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/434"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3070843"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.12.029"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2400451"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.06.016"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-017-2225-1"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/72.712151"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2019.2919396"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref33","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref34","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Veli\u010dkovi\u0107"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3077524"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00810"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01054"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00532"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.344"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/2.144401"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/3477.740166"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2866622"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330989"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.60"},{"key":"ref45","first-page":"1","article-title":"A critical review of recurrent neural networks for sequence learning","volume":"abs\/1506.00019","author":"Lipton","year":"2015","journal-title":"Comput. Res. Repository"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.07.019"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2488200"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939704"},{"key":"ref50","first-page":"3359","article-title":"Higher-order factorization machines","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Blondel"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2947482"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2908982"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10208115\/09565146.pdf?arnumber=9565146","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:09:34Z","timestamp":1705014574000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9565146\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":52,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3116209","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8]]}}}