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Internet Technol."],"published-print":{"date-parts":[[2026,8,31]]},"abstract":"<jats:p>Learning network representations, also known as network embeddings, has attracted significant attention in recent years. Real-world scenarios often involve networks with multiple views, where each view captures a distinct aspect of the network\u2019s structure. Existing network embedding methods mainly focus on the global information from each view, neglecting the implied relations among multiple views. Additionally, maintaining the scalability of node embeddings while adapting to changes in network topology remains a major challenge. To this end, this article proposes a Cloud-edge Collaboration Network (CC-Net) to learn robust node embeddings in multi-view networks. Specifically, we design a decomposition and regrouping module to capture implied relations within multi-view networks, enabling the generation of comprehensive node representations that integrate information from all sub-networks. Besides, by leveraging the hybrid approach of cloud and edge computing, our proposed CC-Net can efficiently handle the complexities and dynamics of multi-view networks without retraining the entire network. Extensive experiments and analyses on real-world Twitter and YouTube datasets demonstrate the superiority of our approach compared to several benchmark methods, and validate its effectiveness in capturing implied relations and generating robust node embeddings.<\/jats:p>","DOI":"10.1145\/3799708","type":"journal-article","created":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T09:32:01Z","timestamp":1772443921000},"page":"1-23","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Cloud-edge Collaboration for Robust Network Embeddings"],"prefix":"10.1145","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1349-8077","authenticated-orcid":false,"given":"Jiandian","family":"Zeng","sequence":"first","affiliation":[{"name":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University","place":["Zhuhai, China"]},{"name":"State Key Laboratory of Internet Architecture, Tsinghua University","place":["Beijing, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9789-0608","authenticated-orcid":false,"given":"Gunagxue","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University","place":["Zhuhai, China"]},{"name":"State Key Laboratory of Internet Architecture, Tsinghua University","place":["Beijing, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3720-7729","authenticated-orcid":false,"given":"Yang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computing and Artificial Intelligence, Southwest Jiaotong University","place":["Chengdu, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6015-2618","authenticated-orcid":false,"given":"Jiantao","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Internet of Things for Smart City, and Department of Computer and Information Science, University of Macau","place":["Taipa, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4819-621X","authenticated-orcid":false,"given":"Tian","family":"Wang","sequence":"additional","affiliation":[{"name":"Ministry of Education Engineering Research Center of Cloud-Edge Intelligent Collaboration on Big Data, Beijing Normal University","place":["Zhuhai, China"]},{"name":"State Key Laboratory of Internet Architecture, Tsinghua University","place":["Beijing, China"]},{"name":"College of Computer and Data Science, Fuzhou University","place":["Fuzhou, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1000-3937","authenticated-orcid":false,"given":"Weijia","family":"Jia","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University","place":["Zhuhai, China"]},{"name":"Guangdong Key Lab of AI and Multi-Modal Data Processing, Beijing Normal-Hong Kong Baptist University","place":["Zhuhai, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,22]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3441450"},{"issue":"1","key":"e_1_3_2_3_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3460818","article-title":"Cloud-based network virtualization in IoT with openstack","volume":"22","author":"Benomar Zakaria","year":"2021","unstructured":"Zakaria Benomar, Francesco Longo, Giovanni Merlino, and Antonio Puliafito. 2021. 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