{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:09:24Z","timestamp":1777565364135,"version":"3.51.4"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"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":["71774159"],"award-info":[{"award-number":["71774159"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Foundation of Xuzhou","award":["KC22047"],"award-info":[{"award-number":["KC22047"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2021T140707"],"award-info":[{"award-number":["2021T140707"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key R&amp;D Program of Xuzhou","award":["KC23296"],"award-info":[{"award-number":["KC23296"]}]},{"name":"Graduate Innovation Program of China University of Mining and Technology","award":["2023WLKXJ174"],"award-info":[{"award-number":["2023WLKXJ174"]}]},{"name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","award":["KYCX23_2723"],"award-info":[{"award-number":["KYCX23_2723"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["NJ2023027"],"award-info":[{"award-number":["NJ2023027"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1109\/tbdata.2024.3442549","type":"journal-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T17:40:05Z","timestamp":1723570805000},"page":"1144-1157","source":"Crossref","is-referenced-by-count":2,"title":["An Efficient Multi-View Heterogeneous Hypergraph Convolutional Network for Heterogeneous Information Network Representation Learning"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5953-9877","authenticated-orcid":false,"given":"Rui","family":"Bing","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3148-9817","authenticated-orcid":false,"given":"Guan","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6533-519X","authenticated-orcid":false,"given":"Yanmei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3615-4859","authenticated-orcid":false,"given":"Senzhang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3408-9037","authenticated-orcid":false,"given":"Bohan","family":"Li","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence and Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6207-0299","authenticated-orcid":false,"given":"Yong","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330673"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-022-04655-5"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403182"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2022.3177455"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380297"},{"key":"ref7","first-page":"11983","article-title":"Graph transformer networks","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Yun"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380027"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441835"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2022.08.028"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.399"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3059313"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557609"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512209"},{"key":"ref15","first-page":"1","article-title":"Spectral networks and deep locally connected networks on graphs","volume-title":"Proc. 2nd Int. Conf. Learn. Representations","author":"Bruna"},{"key":"ref16","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. 30rd Int. Conf. Neural Inf. Process. Syst.","author":"Defferrard"},{"key":"ref17","first-page":"1","article-title":"Semi-Supervised classification with graph convolutional networks","volume-title":"Proc. 5th Int. Conf. Learn. Representations.","author":"Kipf"},{"key":"ref18","first-page":"7264","article-title":"Convolutional neural networks on graphs with chebyshev approximation, revisited","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"He"},{"key":"ref19","first-page":"14239","article-title":"BernNet: Learning arbitrary graph spectral filters via bernstein approximation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"He"},{"key":"ref20","first-page":"23341","article-title":"How powerful are spectral graph neural networks","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","author":"Wang"},{"key":"ref21","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref22","first-page":"1","article-title":"Graph attention networks","volume-title":"Proc. 6th Int. Conf. Learn. Representations.","author":"Veli\u010dkovi\u0107"},{"key":"ref23","first-page":"1","article-title":"How attentive are graph attention networks?","volume-title":"Proc. 10th Int. Conf. Learn. Representations.","author":"Brody"},{"key":"ref24","first-page":"21","article-title":"Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Abu-El-Haija"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.576"},{"key":"ref26","article-title":"HAHE: Hierarchical attentive heterogeneous information network embedding","author":"Zhou","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5833"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3101356"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467350"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"ref31","first-page":"1511","article-title":"HyperGCN: A new method of training graph convolutional networks on hypergraphs","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Yadati"},{"key":"ref32","article-title":"Hypersage: Generalizing inductive representation learning on hypergraphs","author":"Arya","year":"2020"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107637"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3182052"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449914"},{"key":"ref36","article-title":"Continuously differentiable exponential linear units","author":"Barron","year":"2017"},{"key":"ref37","article-title":"Spectral analysis of Laplacian of a multidimensional grid graph-combinatorial versus normalized and random walk laplacians","author":"K\u0142opotek","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1090\/cbms\/092"},{"key":"ref39","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":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"issue":"11","key":"ref41","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687317\/11003987\/10634788.pdf?arnumber=10634788","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T19:37:38Z","timestamp":1747337858000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10634788\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":41,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2024.3442549","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6]]}}}