{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T20:58:55Z","timestamp":1775595535660,"version":"3.50.1"},"reference-count":117,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Major Key Project of PCL","award":["PCL2022A03"],"award-info":[{"award-number":["PCL2022A03"]}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515011655"],"award-info":[{"award-number":["2023A1515011655"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangzhou Research Foundation","award":["2023A03J0115"],"award-info":[{"award-number":["2023A03J0115"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tkde.2024.3422484","type":"journal-article","created":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T17:38:29Z","timestamp":1720028309000},"page":"7893-7912","source":"Crossref","is-referenced-by-count":20,"title":["Deep Learning Approaches for Similarity Computation: A Survey"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8923-4941","authenticated-orcid":false,"given":"Peilun","family":"Yang","sequence":"first","affiliation":[{"name":"Zhejiang Lab, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3158-9586","authenticated-orcid":false,"given":"Hanchen","family":"Wang","sequence":"additional","affiliation":[{"name":"Zhejiang Gongshang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3417-823X","authenticated-orcid":false,"given":"Jianye","family":"Yang","sequence":"additional","affiliation":[{"name":"Guangzhou University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0741-9918","authenticated-orcid":false,"given":"Zhengping","family":"Qian","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2674-1638","authenticated-orcid":false,"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang Gongshang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2396-7225","authenticated-orcid":false,"given":"Xuemin","family":"Lin","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"3835","article-title":"Graph matching networks for learning the similarity of graph structured objects","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/pr11051340"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3047070"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.14778\/1687627.1687631"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(97)00179-7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.05.002"},{"key":"ref7","first-page":"6:1","article-title":"Approximating dynamic time warping and edit distance for a pair of point sequences","volume-title":"Proc. Int. Symp. Comput. Geometry","author":"Agarwal"},{"key":"ref8","first-page":"1:1","article-title":"Constant-distortion embeddings of hausdorff metrics into constant-dimensional l_p spaces","volume-title":"Proc. Approximation Randomization Combinatorial Optimization. Algorithms Techn.","author":"Backurs"},{"key":"ref9","first-page":"37:1","article-title":"Locality-sensitive hashing of curves","volume-title":"Proc. Int. Symp. Comput. Geometry","author":"Driemel"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00173"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2013.10.006"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM54844.2022.00125"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/234"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.14778\/3357377.3357380"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/212"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/34.682181"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tnn.1998.712192"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.14778\/3489496.3489513"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108132"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00056"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00520"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/444"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467328"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09821-w"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1561\/2200000019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/sym11091066"},{"key":"ref27","article-title":"A survey on metric learning for feature vectors and structured data","author":"Bellet","year":"2013"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00733-5"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3084827"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSP.2017.8286426"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654984"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952132"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01222"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401045"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053257"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467317"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917327"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5720"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2010-343"},{"key":"ref43","first-page":"1462","article-title":"DRAW: A recurrent neural network for image generation","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Gregor"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10350"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467401"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00123"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref48","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00221"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3107327"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467337"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539375"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25624"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2018.00062"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3102234"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2238935"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2469645"},{"key":"ref60","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref61","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018"},{"key":"ref62","first-page":"2920","article-title":"Graph attention networks","volume":"1050","author":"Velickovic","year":"2017","journal-title":"Stat"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290967"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/275"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/292"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/522"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00315"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.14778\/3594512.3594514"},{"key":"ref69","article-title":"Hierarchical and fast graph similarity computation via graph coarsening and deep graph learning","author":"Xu","year":"2020"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.01.068"},{"key":"ref71","first-page":"30181","article-title":"Efficient graph similarity computation with alignment regularization","volume-title":"Proc. 36th Int. Conf. Neural Inf. Process. Syst.","author":"Zhuo"},{"key":"ref72","first-page":"14110","article-title":"Slow learning and fast inference: Efficient graph similarity computation via knowledge distillation","volume-title":"Proc. 35th Int. Conf. Neural Inf. Process. Syst.","author":"Qin"},{"key":"ref73","first-page":"22518","article-title":"GREED: A neural framework for learning graph distance functions","volume-title":"Proc. 36th Int. Conf. Neural Inf. Process. Syst.","author":"Ranjan"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref75","article-title":"DeepEMD: A transformer-based fast estimation of the earth mover\u2019s distance","author":"Sinha","year":"2023"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.212"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11703"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33718-5_32"},{"issue":"11","key":"ref79","first-page":"2073","article-title":"LES3: Learning-based exact set similarity search","volume-title":"Proc. VLDB Endowment","volume":"14","author":"Li"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.spnlp-1.6"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00047"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/394"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68765-0_17"},{"key":"ref84","article-title":"NeuralWarp: Time-series similarity with warping networks","author":"Grabocka","year":"2018"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2022.01.001"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3136881"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407827"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2006.02.013"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.05.001"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403257"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5619"},{"key":"ref92","first-page":"588","article-title":"GLSearch: Maximum common subgraph detection via learning to search","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Bai"},{"key":"ref93","article-title":"Graph neural distance metric learning with graph-BERT","author":"Zhang","year":"2020"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n19-1423"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-018-0529-2"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242591"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1145\/2000824.2000825"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2011.5767865"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.14778\/3115404.3115413"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00042"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026543900054"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.14778\/2732240.2732249"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2931969"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3100566"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.14778\/3389133.3389135"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465324"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.10.001"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.5220\/0006599901490158"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20844-7_11"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2008.04.004"},{"key":"ref112","first-page":"926","article-title":"Reasoning with neural tensor networks for knowledge base completion","volume-title":"Proc. 26th Int. Conf. Neural Inf. Process. Syst.","author":"Socher"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1145\/3560815"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1038\/s41587-022-01618-2"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2024.3469578"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1145\/3466687"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313668"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/10750897\/10584318.pdf?arnumber=10584318","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T00:31:50Z","timestamp":1732667510000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10584318\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":117,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2024.3422484","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":[[2024,12]]}}}