{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T14:57:18Z","timestamp":1777733838957,"version":"3.51.4"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DE200100964"],"award-info":[{"award-number":["DE200100964"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Sci. Eng."],"published-print":{"date-parts":[[2022,9,1]]},"DOI":"10.1109\/tnse.2022.3177307","type":"journal-article","created":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T19:39:16Z","timestamp":1653593956000},"page":"3762-3774","source":"Crossref","is-referenced-by-count":15,"title":["Deep Multi-Attributed-View Graph Representation Learning"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1270-4155","authenticated-orcid":false,"given":"Xiaoxiao","family":"Ma","sequence":"first","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9123-5133","authenticated-orcid":false,"given":"Shan","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1371-5801","authenticated-orcid":false,"given":"Jia","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4408-1952","authenticated-orcid":false,"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cecile","family":"Paris","sequence":"additional","affiliation":[{"name":"CSIRO Data61, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3289-6599","authenticated-orcid":false,"given":"Surya","family":"Nepal","sequence":"additional","affiliation":[{"name":"CSIRO Data61, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3326-4147","authenticated-orcid":false,"given":"Quan Z.","family":"Sheng","sequence":"additional","affiliation":[{"name":"School of Computing, Macquarie University, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2849727"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3118815"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3137396"},{"key":"ref4","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Velickovic","year":"2018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11872"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063744"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2848470"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/693"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2819980"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/comnet\/cnab014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.8626170"},{"key":"ref15","first-page":"1895","article-title":"Tri-party deep network representation","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Pan","year":"2016"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3048678"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3008774"},{"key":"ref18","first-page":"3953","article-title":"Multi-graph-view learning for complicated object classification","author":"Wu","year":"2015","journal-title":"Proc. Int. Joint Conf. Artif. Intell."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3083072"},{"key":"ref20","article-title":"Learning robust representations via multi-view information bottleneck","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Federici","year":"2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2889560"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2703832"},{"key":"ref23","first-page":"5092","article-title":"COMIC: Multi-view clustering without parameter selection","volume":"97","author":"Peng","year":"2019","journal-title":"Proc. Int. Conf. Mach. Learn."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380079"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1120.003.0080"},{"key":"ref26","first-page":"153","article-title":"Locality preserving projections","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"He","year":"2003"},{"key":"ref27","first-page":"2111","article-title":"Network representation learning with rich text information","author":"Yang","year":"2015","journal-title":"Proc. Int. Joint Conf. Artif. Intell."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00089"},{"key":"ref29","first-page":"1024","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hamilton","year":"2017"},{"key":"ref30","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf","year":"2017"},{"key":"ref31","first-page":"1","article-title":"Variational graph auto-encoders","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kipf","year":"2016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.121"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013878"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/411"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00072"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851698"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00192"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1007568"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/398"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403140"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975673.67"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974348.5"},{"key":"ref45","first-page":"3837","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Defferrard","year":"2016"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.5555\/3044805.3045025"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975673.74"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/438"},{"key":"ref49","first-page":"4116","article-title":"Contrastive multi-view representation learning on graphs","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hassani","year":"2020"},{"key":"ref50","article-title":"DropEdge: Towards deep graph convolutional networks on node classification","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Rong","year":"2020"},{"issue":"11","key":"ref51","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00119"},{"key":"ref53","first-page":"2892","article-title":"Partially view-aligned clustering","volume":"33","author":"Huang","year":"2020","journal-title":"Proc. Adv. Neural Inf. Process. Syst."},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01102"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2958324"}],"container-title":["IEEE Transactions on Network Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488902\/9882997\/09782548.pdf?arnumber=9782548","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T03:19:00Z","timestamp":1706757540000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9782548\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,1]]},"references-count":55,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tnse.2022.3177307","relation":{},"ISSN":["2327-4697","2334-329X"],"issn-type":[{"value":"2327-4697","type":"electronic"},{"value":"2334-329X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,1]]}}}