{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T01:41:33Z","timestamp":1773106893132,"version":"3.50.1"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2018AAA0100704"],"award-info":[{"award-number":["2018AAA0100704"]}]},{"name":"National Key Research and Development Program of China","award":["2016YFB1001003"],"award-info":[{"award-number":["2016YFB1001003"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972250"],"award-info":[{"award-number":["61972250"]}],"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":["U19B2035"],"award-info":[{"award-number":["U19B2035"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011222","name":"National Laboratory of Pattern Recognition","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011222","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,6,1]]},"DOI":"10.1109\/tpami.2020.3005590","type":"journal-article","created":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T22:22:12Z","timestamp":1593469332000},"page":"6984-7000","source":"Crossref","is-referenced-by-count":55,"title":["Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9566-738X","authenticated-orcid":false,"given":"Runzhong","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, and MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9639-7679","authenticated-orcid":false,"given":"Junchi","family":"Yan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, and MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4029-3322","authenticated-orcid":false,"given":"Xiaokang","family":"Yang","sequence":"additional","affiliation":[{"name":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, P.R. China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.51"},{"key":"ref57","first-page":"737","article-title":"Signature verification using a &#x201C;siamese","author":"bromley","year":"1994","journal-title":"Proc 6th Int Conf Neural Inf Process"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2501802"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2873701"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587500"},{"key":"ref59","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proc 14th Int Conf Artif Intell Statist"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.110"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref53","article-title":"Ranking via sinkhorn propagation","author":"adams","year":"2011"},{"key":"ref52","first-page":"1","article-title":"Sinkhorn networks: Using optimal transport techniques to learn permutations","author":"mena","year":"2017","journal-title":"Proc NIPS Workshop Optimal Transport Mach Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.9.4.586"},{"key":"ref55","article-title":"Learning permutations with sinkhorn policy gradient","author":"emami","year":"2018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2005.09.032"},{"key":"ref54","article-title":"Sinkhorn autoencoders","author":"patrini","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2387386"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2477832"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12184"},{"key":"ref18","first-page":"ii-100","article-title":"Near-optimal joint object matching via convex relaxation","author":"chen","year":"2014","journal-title":"Proc 31st Int Conf Mach Learn"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177703591"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2018.8439919"},{"key":"ref46","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref48","article-title":"Coloring big graphs with alphagozero","author":"huang","year":"2019"},{"key":"ref47","first-page":"1","article-title":"Attention solves your tsp","author":"kool","year":"2019"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref43","first-page":"1","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"Proc 1st Int Conf Learn Representations"},{"key":"ref49","first-page":"3391","article-title":"Deep sets","author":"zaheer","year":"2017","journal-title":"Proc NIPS"},{"key":"ref8","article-title":"Graph matching techniques for computer vision","author":"vento","year":"2012","journal-title":"Graph-based Methods in Computer Vision Developments and Application"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/BF01427149"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2911996.2912035"},{"key":"ref4","first-page":"5270","article-title":"A flexible tensor block coordinate ascent scheme for hypergraph matching","author":"ngoc","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995387"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298759"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1109\/TNN.2008.2005605","article-title":"The graph neural network model","author":"scarselli","year":"2009","journal-title":"IEEE Trans Neural Netw"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.459"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126507"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.28"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_9"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2919308"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.21"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1137\/18M1196480"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2767591"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/34.491619"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15555-0_36"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88688-4_44"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-011-0442-2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00284"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.11"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00403"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.20"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33712-3_59"},{"key":"ref20","first-page":"1860","article-title":"Solving the multi-way matching problem by permutation synchronization","author":"pachauri","year":"2013","journal-title":"Proc 26th Int Conf Neural Inf Process Syst"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000027790.02288.f2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00315"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00936"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00078"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459303"},{"key":"ref28","first-page":"127","article-title":"Factorized graph matching","author":"zhou","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref27","first-page":"313","article-title":"Balanced graph matching","author":"cour","year":"2006","journal-title":"Proc 19th Int Conf Neural Inf Process Syst"},{"key":"ref29","first-page":"1114","article-title":"An integer projected fixed point method for graph matching and map inference","author":"leordeanu","year":"2009","journal-title":"Proc 22nd Int Conf Neural Inf Process Syst"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20844-7_16"},{"key":"ref62","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"Proc Proc Int Conf Learn Representations"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1002\/nav.3800020109"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10120646\/09128045.pdf?arnumber=9128045","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T18:10:21Z","timestamp":1686593421000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9128045\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,1]]},"references-count":67,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2020.3005590","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,1]]}}}