{"id":"https://openalex.org/W4367016889","doi":"https://doi.org/10.1109/tkde.2023.3270119","title":"Cross-Graph Embedding With Trainable Proximity for Graph Alignment","display_name":"Cross-Graph Embedding With Trainable Proximity for Graph Alignment","publication_year":2023,"publication_date":"2023-04-25","ids":{"openalex":"https://openalex.org/W4367016889","doi":"https://doi.org/10.1109/tkde.2023.3270119"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3270119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3270119","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/A5036258889","display_name":"Wei Tang","orcid":"https://orcid.org/0000-0002-9250-4163"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Tang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008194128","display_name":"Haifeng Sun","orcid":"https://orcid.org/0000-0003-3072-7422"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Sun","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432460","display_name":"Jingyu Wang","orcid":"https://orcid.org/0000-0002-2182-2228"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406584","display_name":"Qi Qi","orcid":"https://orcid.org/0000-0003-0829-4624"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Qi","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014199941","display_name":"Huangxun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huangxun Chen","raw_affiliation_strings":["Theory Lab of 2012 Labs, Huawei, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Theory Lab of 2012 Labs, Huawei, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100379245","display_name":"Li Chen","orcid":"https://orcid.org/0000-0002-4228-7885"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["Zhongguancun Laboratory, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5036258889"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":2.4021,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.90748138,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"35","issue":"12","first_page":"12556","last_page":"12570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7032665610313416},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6007475256919861},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5619626641273499},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.513247013092041},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48920559883117676},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.480035662651062},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.47133469581604004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4191628396511078},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.41442224383354187},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.20122122764587402},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1515907645225525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7032665610313416},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6007475256919861},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5619626641273499},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.513247013092041},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48920559883117676},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.480035662651062},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.47133469581604004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4191628396511078},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.41442224383354187},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.20122122764587402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1515907645225525},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3270119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3270119","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":[{"id":"https://openalex.org/G3473387614","display_name":null,"funder_award_id":"62101064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3591376991","display_name":null,"funder_award_id":"62171057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4255581185","display_name":null,"funder_award_id":"62071067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4300471285","display_name":null,"funder_award_id":"62001054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7444792572","display_name":null,"funder_award_id":"2022M710468","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8615917232","display_name":null,"funder_award_id":"62201072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W43644183","https://openalex.org/W1888005072","https://openalex.org/W1974682889","https://openalex.org/W2056124433","https://openalex.org/W2090659861","https://openalex.org/W2090891622","https://openalex.org/W2117756735","https://openalex.org/W2133299088","https://openalex.org/W2142535891","https://openalex.org/W2154851992","https://openalex.org/W2387462954","https://openalex.org/W2391555403","https://openalex.org/W2393319904","https://openalex.org/W2483004277","https://openalex.org/W2536223907","https://openalex.org/W2607500032","https://openalex.org/W2789134258","https://openalex.org/W2793022729","https://openalex.org/W2795694162","https://openalex.org/W2888657195","https://openalex.org/W2891773754","https://openalex.org/W2914268208","https://openalex.org/W2949775279","https://openalex.org/W2962756421","https://openalex.org/W2963701864","https://openalex.org/W2964418074","https://openalex.org/W2986864699","https://openalex.org/W3030424116","https://openalex.org/W3030734823","https://openalex.org/W3045444188","https://openalex.org/W3072176192","https://openalex.org/W3085678997","https://openalex.org/W3100487472","https://openalex.org/W3103148916","https://openalex.org/W3104097132","https://openalex.org/W3125808187","https://openalex.org/W3156855620","https://openalex.org/W3168735469","https://openalex.org/W3170451879","https://openalex.org/W3171051766","https://openalex.org/W3211009556","https://openalex.org/W4291474301","https://openalex.org/W4312843444","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6682962330","https://openalex.org/W6731581786","https://openalex.org/W6731785350","https://openalex.org/W6763688603"],"related_works":["https://openalex.org/W2088585064","https://openalex.org/W2059349845","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2912814903","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W3038102983","https://openalex.org/W2950907416","https://openalex.org/W1559483280"],"abstract_inverted_index":{"Graph":[0],"alignment,":[1,6],"also":[2],"known":[3],"as":[4],"network":[5],"has":[7,32],"many":[8],"applications":[9],"in":[10,81,101,173],"data":[11],"mining":[12],"tasks.":[13],"It":[14],"aims":[15],"to":[16,76,136,155],"find":[17],"the":[18,49,59,64,78,86,95,147,158],"node":[19,96,134],"correspondence":[20],"across":[21,45],"disjoint":[22],"graphs.":[23],"With":[24],"recent":[25],"representation":[26],"learning":[27],"advancements,":[28],"embedding-based":[29,38],"graph":[30,92,170],"alignment":[31,159,171],"become":[33],"a":[34,53,90,110],"hot":[35],"topic.":[36],"Existing":[37],"methods":[39,172],"focus":[40],"either":[41],"on":[42,48,181],"structural":[43,60,138],"proximity":[44,51,88,139,142,148],"graphs":[46,100],"or":[47],"positional":[50,141],"within":[52],"single":[54,91],"graph.":[55],"However,":[56],"only":[57,84],"considering":[58,85],"similarity":[61],"will":[62,93],"make":[63,94,146],"position":[65,87],"relation":[66],"of":[67,89],"nodes":[68,79],"not":[69],"clear":[70],"enough,":[71],"which":[72,131],"makes":[73],"it":[74,151],"easy":[75],"misalign":[77],"close":[80],"distance,":[82],"while":[83],"embeddings":[97,135],"from":[98],"different":[99,102],"subspaces.":[103],"To":[104],"mitigate":[105],"this":[106],"issue,":[107],"we":[108,145],"propose":[109],"novel":[111],"model":[112],"CEGA":[113,167],"for":[114],"<bold":[115,119,123,127],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[116,120,124,128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">C</b>":[117],"ross-graph":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">E</b>":[121],"mbedding-based":[122],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">G</b>":[125],"raph":[126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">A</b>":[129],"lignment,":[130],"can":[132,152],"generate":[133],"reflect":[137],"and":[140],"simultaneously.":[143],"Meanwhile,":[144],"trainable":[149],"thus":[150],"be":[153],"learned":[154],"best":[156],"suit":[157],"task":[160],"at":[161],"hand":[162],"automatically.":[163],"We":[164],"show":[165],"that":[166],"outperforms":[168],"existing":[169],"accuracy":[174],"under":[175],"unsupervised":[176],"scenarios":[177],"through":[178],"extensive":[179],"experiments":[180],"public":[182],"benchmarks.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
