{"id":"https://openalex.org/W4292794811","doi":"https://doi.org/10.1109/tkde.2022.3200981","title":"Revisiting Embedding-based Entity Alignment: A Robust and Adaptive Method","display_name":"Revisiting Embedding-based Entity Alignment: A Robust and Adaptive Method","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4292794811","doi":"https://doi.org/10.1109/tkde.2022.3200981"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3200981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3200981","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101848528","display_name":"Zequn Sun","orcid":"https://orcid.org/0000-0003-4177-9199"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zequn Sun","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727084","display_name":"Wei Hu","orcid":"https://orcid.org/0000-0003-3635-6335"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Hu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020318702","display_name":"Chengming Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengming Wang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427463","display_name":"Yuxin Wang","orcid":"https://orcid.org/0000-0001-5205-0518"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Wang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089586983","display_name":"Yuzhong Qu","orcid":"https://orcid.org/0000-0003-2777-8149"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhong Qu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101848528"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":4.8578,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95635586,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8322148323059082},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6721974611282349},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6556820869445801},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.604432225227356},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5790387392044067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.538986086845398},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.4653435945510864},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.4259118437767029},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41511115431785583},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41444307565689087},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3527931869029999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3323501944541931}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8322148323059082},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6721974611282349},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6556820869445801},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.604432225227356},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5790387392044067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.538986086845398},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.4653435945510864},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.4259118437767029},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41511115431785583},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41444307565689087},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3527931869029999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3323501944541931},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3200981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3200981","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1552847225","https://openalex.org/W1597082186","https://openalex.org/W2080133951","https://openalex.org/W2127795553","https://openalex.org/W2141051060","https://openalex.org/W2521367263","https://openalex.org/W2551361256","https://openalex.org/W2604165577","https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2741750617","https://openalex.org/W2808284704","https://openalex.org/W2890187992","https://openalex.org/W2896457183","https://openalex.org/W2903963001","https://openalex.org/W2908230750","https://openalex.org/W2913224127","https://openalex.org/W2941929666","https://openalex.org/W2945623882","https://openalex.org/W2947109386","https://openalex.org/W2949700412","https://openalex.org/W2953054275","https://openalex.org/W2953122515","https://openalex.org/W2955238243","https://openalex.org/W2962916648","https://openalex.org/W2963626623","https://openalex.org/W2964015378","https://openalex.org/W2964263523","https://openalex.org/W2964855489","https://openalex.org/W2970188762","https://openalex.org/W2971001654","https://openalex.org/W2980525481","https://openalex.org/W2988237903","https://openalex.org/W2997062749","https://openalex.org/W2998702515","https://openalex.org/W3001896264","https://openalex.org/W3012000912","https://openalex.org/W3031817831","https://openalex.org/W3032567415","https://openalex.org/W3034616364","https://openalex.org/W3034906292","https://openalex.org/W3035191547","https://openalex.org/W3075591326","https://openalex.org/W3080506591","https://openalex.org/W3089874281","https://openalex.org/W3098038527","https://openalex.org/W3098583774","https://openalex.org/W3098893606","https://openalex.org/W3101056714","https://openalex.org/W3122741928","https://openalex.org/W3145397194","https://openalex.org/W3154547779","https://openalex.org/W3155355417","https://openalex.org/W3157026315","https://openalex.org/W3157819612","https://openalex.org/W4297733535","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6678830454","https://openalex.org/W6726873649","https://openalex.org/W6742554458","https://openalex.org/W6745537798","https://openalex.org/W6755207826","https://openalex.org/W6762848323","https://openalex.org/W6762867004","https://openalex.org/W6770199028","https://openalex.org/W6778437236","https://openalex.org/W6779157770","https://openalex.org/W6780493881","https://openalex.org/W6793653318"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W3111219495","https://openalex.org/W2382566571","https://openalex.org/W2349321798","https://openalex.org/W2366686860","https://openalex.org/W2181948922","https://openalex.org/W2350859087","https://openalex.org/W2387118502","https://openalex.org/W2384362569","https://openalex.org/W3134175397"],"abstract_inverted_index":{"Entity":[0],"alignment&#x2014;the":[1],"discovery":[2],"of":[3,42,50,70,81],"identical":[4],"entities":[5,46],"across":[6],"different":[7],"knowledge":[8],"graphs":[9],"(KGs)&#x2014;is":[10],"a":[11,39,60,86,123,133],"critical":[12],"task":[13],"in":[14,26,111,177],"data":[15],"fusion.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,127],"revisit":[21],"existing":[22,194],"entity":[23,51,64,91],"alignment":[24,65],"methods":[25,195],"practical":[27],"and":[28,47,62,67,85,109,121,148,164,184],"challenging":[29,155,180],"scenarios.":[30],"Our":[31,78],"empirical":[32],"studies":[33],"show":[34,168],"that":[35,103,169],"current":[36],"work":[37],"has":[38],"low":[40],"level":[41],"robustness":[43],"to":[44,58],"long-tail":[45],"the":[48,68,100,106,116,142,178],"lack":[49],"names":[52,74],"or":[53,73,96],"relation":[54,87,147],"triples.":[55],"We":[56,136],"aim":[57],"develop":[59],"robust":[61],"adaptive":[63,129],"method,":[66],"availability":[69],"relations,":[71,160],"attributes,":[72,158],"is":[75],"not":[76],"required.":[77],"method":[79,171,187],"consists":[80],"an":[82,90],"attribute":[83,149],"encoder":[84],"encoder,":[88],"representing":[89],"by":[92],"aggregating":[93],"its":[94],"attributes":[95,108],"relational":[97],"neighbors":[98],"using":[99],"attention":[101],"mechanisms":[102],"can":[104,172,188],"highlight":[105],"useful":[107],"relations":[110,163,183],"end-to-end":[112],"learning.":[113],"To":[114],"let":[115],"encoders":[117],"complement":[118],"each":[119],"other":[120],"produce":[122],"coherent":[124],"representation":[125],"space,":[126],"propose":[128],"embedding":[130],"fusion":[131],"via":[132],"gating":[134],"mechanism.":[135],"consider":[137],"four":[138],"evaluation":[139],"settings,":[140],"i.e.,":[141],"conventional":[143],"setting":[144,181],"with":[145],"both":[146,162],"triples,":[150],"as":[151,153],"well":[152],"three":[154],"settings":[156],"without":[157,159,161,182],"names,":[165,185],"respectively.":[166],"Results":[167],"our":[170,186],"achieve":[173,190],"state-of-the-art":[174],"performance.":[175],"Even":[176],"most":[179],"still":[189],"promising":[191],"results":[192],"while":[193],"fail.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
