{"id":"https://openalex.org/W4406148168","doi":"https://doi.org/10.1145/3704323.3704377","title":"MVEA: Multi-View Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs","display_name":"MVEA: Multi-View Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs","publication_year":2024,"publication_date":"2024-10-25","ids":{"openalex":"https://openalex.org/W4406148168","doi":"https://doi.org/10.1145/3704323.3704377"},"language":"en","primary_location":{"id":"doi:10.1145/3704323.3704377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704323.3704377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704323.3704377?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3704323.3704377?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071445063","display_name":"Shu Ping Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwen Yu","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0005-2639-1374","affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100633735","display_name":"Yongli Wang","orcid":"https://orcid.org/0000-0003-2219-067X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Wang","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0003-2219-067X","affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.2986,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67927835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"399","last_page":"406"},"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":0.9991999864578247,"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":0.9986000061035156,"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":0.8225027322769165},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6020933389663696},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.507487952709198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38573503494262695},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3274887204170227},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3092361390590668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8225027322769165},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6020933389663696},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.507487952709198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38573503494262695},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3274887204170227},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3092361390590668}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3704323.3704377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704323.3704377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704323.3704377?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3704323.3704377","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3704323.3704377","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3704323.3704377?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6491793071","display_name":null,"funder_award_id":"ZD2022068","funder_id":"https://openalex.org/F4320317802","funder_display_name":"Jiangsu Commission of Health"}],"funders":[{"id":"https://openalex.org/F4320317802","display_name":"Jiangsu Commission of Health","ror":null},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406148168.pdf","grobid_xml":"https://content.openalex.org/works/W4406148168.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2560674852","https://openalex.org/W2747329762","https://openalex.org/W2808284704","https://openalex.org/W2890187992","https://openalex.org/W2903963001","https://openalex.org/W2955238243","https://openalex.org/W2962916648","https://openalex.org/W2964855489","https://openalex.org/W3075591326","https://openalex.org/W3098038527","https://openalex.org/W3098583774","https://openalex.org/W3098893606","https://openalex.org/W3101056714","https://openalex.org/W3146701396","https://openalex.org/W3156859417","https://openalex.org/W3211774129","https://openalex.org/W4226430607","https://openalex.org/W4280538145","https://openalex.org/W4285600445","https://openalex.org/W4285606231","https://openalex.org/W4287252285","https://openalex.org/W4306317752","https://openalex.org/W4321793983","https://openalex.org/W4365794724","https://openalex.org/W4367047129","https://openalex.org/W4385304428","https://openalex.org/W4385567259","https://openalex.org/W4385570025","https://openalex.org/W4389519294"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2951359407","https://openalex.org/W4376623224","https://openalex.org/W4387849428","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Cross-lingual":[0],"Entity":[1,126],"Alignment":[2,127],"(EA)":[3],"aims":[4],"to":[5,20,32,50,54,66],"identify":[6],"whether":[7],"different":[8,37,107],"entities":[9,73,83],"in":[10,16,60,92,102,116],"two":[11],"Knowledge":[12],"Graphs":[13],"(KGs)":[14],"constructed":[15],"various":[17],"languages":[18],"refer":[19],"the":[21,29,34,43,56,69,80,93,112,153,158],"same":[22],"real-world":[23],"object.Current":[24],"approaches":[25,64],"predominantly":[26],"focus":[27],"on":[28,169],"structure":[30],"aspect":[31],"address":[33],"heterogeneity":[35],"between":[36],"KGs,":[38,118],"however,":[39],"they":[40],"often":[41],"overlook":[42],"semantic":[44],"information":[45,53,114],"of":[46,72,82],"relations.Some":[47],"methods":[48],"attempt":[49],"incorporate":[51],"attribute":[52,138],"alleviate":[55],"sparsity":[57],"issue":[58],"present":[59],"some":[61],"KGs.Nevertheless,":[62],"these":[63],"fail":[65],"account":[67],"for":[68,125,162],"dynamic":[70,100,144,159],"nature":[71],"that":[74],"are":[75],"influenced":[76],"by":[77],"time,":[78,98],"treating":[79],"attributes":[81,103],"and":[84,104,137,157,174],"their":[85],"relations":[86,105],"as":[87,140,142],"static.In":[88],"fact,":[89],"knowledge":[90],"networks":[91],"real":[94],"world":[95],"evolve":[96],"over":[97],"with":[99],"changes":[101],"across":[106],"time":[108,145,160],"periods.To":[109],"fully":[110],"exploit":[111],"rich":[113],"embedded":[115],"cross-lingual":[117,171],"we":[119],"propose":[120],"Multi-View":[121],"Graph":[122],"Convolutional":[123],"Networks":[124],"(MVEA)":[128],"which":[129],"comprehensively":[130],"consider":[131],"entity":[132],"representations":[133],"from":[134,151],"static":[135,154],"relation":[136],"views,":[139],"well":[141],"a":[143],"view.We":[146],"then":[147],"aggregate":[148],"similarity":[149],"matrices":[150],"both":[152],"joint":[155],"view":[156,161],"alignment":[163],"learning.Our":[164],"model":[165],"has":[166],"been":[167],"tested":[168],"widely-used":[170],"EA":[172],"datasets":[173],"sparser":[175],"datasets,":[176],"demonstrating":[177],"its":[178],"superiority.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
