{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T14:57:57Z","timestamp":1792508277999,"version":"4.5.0"},"reference-count":45,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2021,4,21]],"date-time":"2021-04-21T00:00:00Z","timestamp":1618963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Knowl. Discov. Data"],"published-print":{"date-parts":[[2021,6,30]]},"abstract":"<jats:p>\n                    Real-world networks often exist with multiple views, where each view describes one type of interaction among a common set of nodes. For example, on a video-sharing network, while two user nodes are linked, if they have common favorite videos in one view, then they can also be linked in another view if they share common subscribers. Unlike traditional single-view networks, multiple views maintain different semantics to complement each other. In this article, we propose\n                    <jats:underline>M<\/jats:underline>\n                    ulti-view coll\n                    <jats:underline>A<\/jats:underline>\n                    borative\n                    <jats:underline>N<\/jats:underline>\n                    etwork\n                    <jats:underline>E<\/jats:underline>\n                    mbedding (MANE), a multi-view network embedding approach to learn low-dimensional representations. Similar to existing studies, MANE hinges on diversity and collaboration\u2014while diversity enables views to maintain their individual semantics, collaboration enables views to work together. However, we also discover a novel form of\n                    <jats:italic>second-order<\/jats:italic>\n                    collaboration that has not been explored previously, and further unify it into our framework to attain superior node representations. Furthermore, as each view often has varying importance w.r.t.\u00a0different nodes, we propose MANE\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>\n                          \n                        <\/jats:tex-math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    , an\n                    <jats:italic>attention<\/jats:italic>\n                    -based extension of MANE, to model node-wise view importance. Finally, we conduct comprehensive experiments on three public, real-world multi-view networks, and the results demonstrate that our models consistently outperform state-of-the-art approaches.\n                  <\/jats:p>","DOI":"10.1145\/3441450","type":"journal-article","created":{"date-parts":[[2021,4,21]],"date-time":"2021-04-21T11:42:54Z","timestamp":1619005374000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Multi-View Collaborative Network Embedding"],"prefix":"10.1145","volume":"15","author":[{"given":"Sezin Kircali","family":"Ata","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Nanyang Avenue, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4265-5289","authenticated-orcid":false,"given":"Yuan","family":"Fang","sequence":"additional","affiliation":[{"name":"Singapore Management University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaqi","family":"Shi","sequence":"additional","affiliation":[{"name":"Singapore Management University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chee Keong","family":"Kwoh","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Nanyang Avenue, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoli","family":"Li","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research and Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,4,21]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2017.06.036"},{"key":"e_1_2_1_2_1","volume-title":"Proceedings of the 3rd International Conference on Learning Representations.","author":"Bahdanau Dzmitry","year":"2015","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2015 . 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