{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T16:52:22Z","timestamp":1784911942343,"version":"3.55.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2021YFC3300303"],"award-info":[{"award-number":["2021YFC3300303"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62025206"],"award-info":[{"award-number":["62025206"]}],"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":["61972338"],"award-info":[{"award-number":["61972338"]}],"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":["62102351"],"award-info":[{"award-number":["62102351"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"AZFT"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2023,12,1]]},"DOI":"10.1109\/tkde.2021.3134806","type":"journal-article","created":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T21:04:53Z","timestamp":1639429493000},"page":"12139-12152","source":"Crossref","is-referenced-by-count":18,"title":["CollaborEM: A Self-Supervised Entity Matching Framework Using Multi-Features Collaboration"],"prefix":"10.1109","volume":"35","author":[{"given":"Congcong","family":"Ge","sequence":"first","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9992-1464","authenticated-orcid":false,"given":"Pengfei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Software, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoze","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9792-9171","authenticated-orcid":false,"given":"Baihua","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, Singapore Management University, Singapore, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3816-8450","authenticated-orcid":false,"given":"Yunjun","family":"Gao","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/689"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.14778\/1687627.1687674"},{"key":"ref15","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2588576"},{"key":"ref53","article-title":"Deep autoencoding gaussian mixture model for unsupervised anomaly detection","author":"zong","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313578"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-01892-3"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1454","DOI":"10.14778\/3236187.3236198","article-title":"Distributed representations of tuples for entity resolution","volume":"11","author":"ebraheem","year":"2018","journal-title":"Proc VLDB Endow"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1145\/568271.223807","article-title":"The merge\/purge problem for large databases","author":"hern\u00e1ndez","year":"1995","journal-title":"Proc ACM SIGMOD Int Conf Manage Data"},{"key":"ref16","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Proc 31st Int Conf Neural Inf Process Syst"},{"key":"ref19","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1586"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380017"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2991063"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389743"},{"key":"ref45","article-title":"Huggingface's transformers: State-of-the-art natural language processing","author":"wolf","year":"2019"},{"key":"ref48","first-page":"5754","article-title":"Xlnet: Generalized autoregressive pretraining for language understanding","author":"yang","year":"2019","journal-title":"Proc 33rd Int Conf Neural Inf Process Syst"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref42","first-page":"2071","article-title":"Complex embeddings for simple link prediction","author":"trouillon","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407828"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.14778\/2350229.2350263"},{"key":"ref43","article-title":"Graph attention networks","author":"velickovic","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401161"},{"key":"ref8","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"Proc Annu Conf North Amer Chapter Assoc Comput Linguistics-Hum Lang Technologies"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31164-2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3197387"},{"key":"ref4","first-page":"463","article-title":"Entity matching with transformer architectures - A step forward in data integration","author":"brunner","year":"2020","journal-title":"Proc Int Conf Extending Database Technol"},{"key":"ref3","first-page":"695","article-title":"Adversarial attacks on node embeddings via graph poisoning","author":"bojchevski","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref6","first-page":"941","article-title":"Stochastic training of graph convolutional networks with variance reduction","author":"chen","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389742"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/611"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"ref34","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc Annu Conf Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3058739"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00158"},{"key":"ref31","article-title":"Unrolled generative adversarial networks","author":"metz","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.14778\/2047485.2047487"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196926"},{"key":"ref32","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc 26th Int Conf Neural Inf Process Syst"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403392"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2009.43"},{"key":"ref39","article-title":"Rotate: Knowledge graph embedding by relational rotation in complex space","author":"sun","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.14778\/3149193.3149199"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6330"},{"key":"ref23","first-page":"13226","article-title":"Improving the efficiency and effectiveness for bert-based entity resolution","author":"li","year":"2020","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.14778\/3421424.3421431"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1274"},{"key":"ref20","article-title":"Reformer: The efficient transformer","author":"kitaev","year":"2020","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920904"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.14778\/2994509.2994535"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.515"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/585"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412001"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/10311056\/09647870.pdf?arnumber=9647870","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T20:50:32Z","timestamp":1702327832000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9647870\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,1]]},"references-count":53,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2021.3134806","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,1]]}}}