{"id":"https://openalex.org/W4385482758","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191734","title":"Iterative Fusion Method Based on Heterogeneous Graph Neural Network for Entity Alignment","display_name":"Iterative Fusion Method Based on Heterogeneous Graph Neural Network for Entity Alignment","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385482758","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191734"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191734","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101792402","display_name":"Zirui Zhang","orcid":"https://orcid.org/0009-0000-8257-809X"},"institutions":[{"id":"https://openalex.org/I6593398","display_name":"Dali University","ror":"https://ror.org/02y7rck89","country_code":"CN","type":"education","lineage":["https://openalex.org/I6593398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zirui Zhang","raw_affiliation_strings":["Dali University,Dali,China","Dali University, Dali, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dali University,Dali,China","institution_ids":["https://openalex.org/I6593398"]},{"raw_affiliation_string":"Dali University, Dali, China","institution_ids":["https://openalex.org/I6593398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087280201","display_name":"Fanfang Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I6593398","display_name":"Dali University","ror":"https://ror.org/02y7rck89","country_code":"CN","type":"education","lineage":["https://openalex.org/I6593398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanfang Meng","raw_affiliation_strings":["Dali University,Dali,China","Dali University, Dali, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dali University,Dali,China","institution_ids":["https://openalex.org/I6593398"]},{"raw_affiliation_string":"Dali University, Dali, China","institution_ids":["https://openalex.org/I6593398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111018472","display_name":"Yuanhui Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I6593398","display_name":"Dali University","ror":"https://ror.org/02y7rck89","country_code":"CN","type":"education","lineage":["https://openalex.org/I6593398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhui Meng","raw_affiliation_strings":["Dali University,Dali,China","Dali University, Dali, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dali University,Dali,China","institution_ids":["https://openalex.org/I6593398"]},{"raw_affiliation_string":"Dali University, Dali, China","institution_ids":["https://openalex.org/I6593398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705973","display_name":"Xiaoxia Liu","orcid":"https://orcid.org/0000-0002-2289-7520"},"institutions":[{"id":"https://openalex.org/I6593398","display_name":"Dali University","ror":"https://ror.org/02y7rck89","country_code":"CN","type":"education","lineage":["https://openalex.org/I6593398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxia Liu","raw_affiliation_strings":["Dali University,Dali,China","Dali University, Dali, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dali University,Dali,China","institution_ids":["https://openalex.org/I6593398"]},{"raw_affiliation_string":"Dali University, Dali, China","institution_ids":["https://openalex.org/I6593398"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067878297","display_name":"Benhui Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I154833797","display_name":"Lingnan Normal University","ror":"https://ror.org/01h6ecw13","country_code":"CN","type":"education","lineage":["https://openalex.org/I154833797"]},{"id":"https://openalex.org/I6593398","display_name":"Dali University","ror":"https://ror.org/02y7rck89","country_code":"CN","type":"education","lineage":["https://openalex.org/I6593398"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benhui Chen","raw_affiliation_strings":["Dali University,Dali,China","Dali University, Dali, China","Lijiang Normal College, Lijiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dali University,Dali,China","institution_ids":["https://openalex.org/I6593398"]},{"raw_affiliation_string":"Dali University, Dali, China","institution_ids":["https://openalex.org/I6593398"]},{"raw_affiliation_string":"Lijiang Normal College, Lijiang, China","institution_ids":["https://openalex.org/I154833797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"01","last_page":"08"},"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/T10028","display_name":"Topic Modeling","score":0.996399998664856,"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":0.992900013923645,"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":0.8045095801353455},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5695676803588867},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.49890947341918945},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4908078610897064},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4713168740272522},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42308297753334045},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3964135944843292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3661394715309143},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3222041428089142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8045095801353455},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5695676803588867},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.49890947341918945},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4908078610897064},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4713168740272522},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42308297753334045},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3964135944843292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3661394715309143},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3222041428089142},{"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/ijcnn54540.2023.10191734","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W125094683","https://openalex.org/W1552847225","https://openalex.org/W1597082186","https://openalex.org/W2022166150","https://openalex.org/W2551361256","https://openalex.org/W2604314403","https://openalex.org/W2741750617","https://openalex.org/W2808284704","https://openalex.org/W2890187992","https://openalex.org/W2951682790","https://openalex.org/W2955238243","https://openalex.org/W2962916648","https://openalex.org/W2970188762","https://openalex.org/W2970921796","https://openalex.org/W2971001654","https://openalex.org/W2986711944","https://openalex.org/W2997062749","https://openalex.org/W3001807478","https://openalex.org/W3001896264","https://openalex.org/W3034353423","https://openalex.org/W3034521981","https://openalex.org/W3034906292","https://openalex.org/W3089874281","https://openalex.org/W3098038527","https://openalex.org/W3098583774","https://openalex.org/W3146701396","https://openalex.org/W3156859417","https://openalex.org/W4200281664","https://openalex.org/W6622957738","https://openalex.org/W6678830454"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W2085756966","https://openalex.org/W2350679292","https://openalex.org/W2086348228","https://openalex.org/W4390653028"],"abstract_inverted_index":{"Entity":[0],"alignment":[1,77,139,145],"aims":[2],"to":[3,57,92,118,129],"link":[4],"equivalent":[5],"entities":[6,66,94],"across":[7],"different":[8],"knowledge":[9,12],"graphs.":[10],"The":[11,141,151],"graph":[13,89,101],"contains":[14],"multiple":[15],"types":[16,125],"of":[17,38,106,122,126,159],"information,":[18],"such":[19,44],"as":[20,45,97],"entities,":[21],"relations,":[22,46],"and":[23,33,95,173],"attributes.":[24],"Most":[25],"existing":[26],"studies":[27],"have":[28,67],"focused":[29],"on":[30,99,181],"entity":[31,76,138,144],"information":[32,43,105],"ignored":[34],"other":[35],"information.":[36],"Some":[37],"the":[39,48,60,64,68,74,100,103,120,137,148,182],"latest":[40],"approaches":[41],"introduce":[42],"but":[47],"interactivity":[49],"could":[50],"be":[51,81],"stronger.":[52],"Otherwise,":[53],"it":[54],"will":[55],"lead":[56],"bias":[58],"in":[59],"extracted":[61],"features":[62],"when":[63],"central":[65],"same":[69],"or":[70],"similar":[71],"neighbours.":[72],"Thus,":[73],"correct":[75],"seed":[78],"pair":[79],"cannot":[80],"found.":[82],"In":[83],"this":[84,160],"paper,":[85],"by":[86],"introducing":[87],"heterogeneous":[88],"neural":[90],"networks":[91],"model":[93,142,161],"relations":[96,107],"nodes":[98,128],"simultaneously,":[102],"relevant":[104],"is":[108,116],"fully":[109],"considered.":[110],"Furthermore,":[111],"an":[112],"iterative":[113],"fusion":[114],"method":[115],"proposed":[117],"enhance":[119],"interaction":[121],"these":[123],"two":[124],"semantic":[127],"obtain":[130],"a":[131],"node":[132,149],"representation":[133],"more":[134],"suitable":[135],"for":[136],"task.":[140],"performs":[143],"after":[146],"updating":[147],"representations.":[150],"experimental":[152],"results":[153],"show":[154],"that":[155],"all":[156,166,174],"Hits@1":[157],"values":[158,168,176],"are":[162,169,177],"greater":[163,170,178],"than":[164,171,179],"75%,":[165],"Hits@10":[167],"95%,":[172],"MRR":[175],"0.83":[180],"dataset":[183],"DBP15K.":[184]},"counts_by_year":[],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
