{"id":"https://openalex.org/W7124299276","doi":"https://doi.org/10.1007/s44443-025-00461-0","title":"QLGAN: a quantum-lineage graph attention network for temporal knowledge graph entity alignment","display_name":"QLGAN: a quantum-lineage graph attention network for temporal knowledge graph entity alignment","publication_year":2026,"publication_date":"2026-01-15","ids":{"openalex":"https://openalex.org/W7124299276","doi":"https://doi.org/10.1007/s44443-025-00461-0"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-025-00461-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00461-0","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44443-025-00461-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123085026","display_name":"Jia Li","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, 450000, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, 450000, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012005050","display_name":"Yuxi Ma","orcid":"https://orcid.org/0000-0001-5639-5214"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxi Ma","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences, Beijing, 100190, China"],"affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123138008","display_name":"Lingzhong Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingzhong Meng","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences, Beijing, 100190, China"],"affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5123138008"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15203265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9674000144004822,"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":0.9674000144004822,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.012000000104308128,"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":0.003599999938160181,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5182999968528748},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5149999856948853},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.48500001430511475},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43939998745918274},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.40549999475479126},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.39500001072883606},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.382999986410141},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3725000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7545999884605408},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5182999968528748},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5149999856948853},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.48500001430511475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48089998960494995},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4602000117301941},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.40549999475479126},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.382999986410141},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3206000030040741},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31139999628067017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3091999888420105},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28209999203681946},{"id":"https://openalex.org/C25016198","wikidata":"https://www.wikidata.org/wiki/Q781833","display_name":"Temporal logic","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C123757187","wikidata":"https://www.wikidata.org/wiki/Q9195957","display_name":"Network dynamics","level":2,"score":0.26080000400543213}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-025-00461-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00461-0","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:aa802934360e463c99b8b196d3d8a9e2","is_oa":true,"landing_page_url":"https://doaj.org/article/aa802934360e463c99b8b196d3d8a9e2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of King Saud University: Computer and Information Sciences, Vol 38, Iss 2 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-025-00461-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00461-0","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2551361256","https://openalex.org/W2559394418","https://openalex.org/W2741750617","https://openalex.org/W2890187992","https://openalex.org/W2903963001","https://openalex.org/W2949700412","https://openalex.org/W2971001654","https://openalex.org/W2997062749","https://openalex.org/W3001896264","https://openalex.org/W3075591326","https://openalex.org/W3089874281","https://openalex.org/W3098038527","https://openalex.org/W3102952580","https://openalex.org/W3129650946","https://openalex.org/W3139255515","https://openalex.org/W3146701396","https://openalex.org/W3155355417","https://openalex.org/W3211774129","https://openalex.org/W3216273815","https://openalex.org/W4224308031","https://openalex.org/W4281394493","https://openalex.org/W4283711615","https://openalex.org/W4290875677","https://openalex.org/W4319795207","https://openalex.org/W4385567259","https://openalex.org/W4391448402","https://openalex.org/W4392095973","https://openalex.org/W4402672076","https://openalex.org/W4402793466","https://openalex.org/W4403747891","https://openalex.org/W4404781684","https://openalex.org/W4406261216","https://openalex.org/W4412956029"],"related_works":[],"abstract_inverted_index":{"Temporal":[0],"entity":[1,67],"alignment,":[2],"the":[3,27,54,146],"task":[4],"of":[5,109,148],"identifying":[6],"equivalent":[7],"entities":[8],"across":[9],"evolving":[10],"knowledge":[11,159],"graphs":[12],"(KGs),":[13],"is":[14,117],"a":[15,60,72,93,105,120],"critical":[16],"yet":[17],"challenging":[18],"problem.":[19],"Existing":[20],"methods":[21],"often":[22],"struggle":[23],"to":[24,39,98],"holistically":[25],"model":[26,64],"complex":[28,110],"interplay":[29],"between":[30],"structural":[31],"topology":[32],"and":[33,154],"temporal":[34,66,131,158],"dynamics":[35],"while":[36],"also":[37],"failing":[38],"capture":[40],"long-range":[41],"dependencies":[42],"encoded":[43],"in":[44,151],"multi-hop":[45,85],"relational":[46,86],"paths.":[47],"To":[48],"address":[49],"these":[50],"limitations,":[51],"we":[52],"propose":[53],"Quantum-Lineage":[55],"Graph":[56],"Attention":[57],"Network":[58],"(QLGAN),":[59],"novel":[61],"quantum-classical":[62],"hybrid":[63,121],"for":[65,157],"alignment.":[68],"QLGAN":[69],"uniquely":[70],"integrates":[71],"path":[73],"encoder":[74],"directly":[75],"within":[76],"its":[77],"attention":[78],"mechanism,":[79],"which":[80],"enriches":[81],"neighbor":[82],"representations":[83,156],"with":[84,128],"semantics":[87],"before":[88],"aggregation.":[89],"Furthermore,":[90],"it":[91],"leverages":[92],"Variational":[94],"Quantum":[95],"Circuit":[96],"(VQC)":[97],"perform":[99],"powerful":[100],"non-linear":[101],"feature":[102],"transformations,":[103],"enabling":[104],"more":[106],"effective":[107],"fusion":[108],"spatiotemporal":[111],"features.":[112],"The":[113],"model\u2019s":[114],"alignment":[115,138],"process":[116],"based":[118],"on":[119,142],"similarity":[122],"framework":[123],"that":[124],"combines":[125],"quantum-inspired":[126],"metrics":[127],"structurally":[129],"aware":[130],"propagation,":[132],"followed":[133],"by":[134],"an":[135],"optimal":[136],"transport":[137],"algorithm.":[139],"Extensive":[140],"experiments":[141],"benchmark":[143],"datasets":[144],"validate":[145],"effectiveness":[147],"our":[149],"approach":[150],"learning":[152],"robust":[153],"contextually-rich":[155],"graphs.":[160]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2026-01-16T00:00:00"}
