{"id":"https://openalex.org/W4390922790","doi":"https://doi.org/10.3233/ida-227123","title":"Knowledge graph embedding in a uniform space","display_name":"Knowledge graph embedding in a uniform space","publication_year":2024,"publication_date":"2024-01-16","ids":{"openalex":"https://openalex.org/W4390922790","doi":"https://doi.org/10.3233/ida-227123"},"language":"en","primary_location":{"id":"doi:10.3233/ida-227123","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ida-227123","pdf_url":"https://content.iospress.com:443/download/intelligent-data-analysis/ida227123?id=intelligent-data-analysis%2Fida227123","source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://content.iospress.com:443/download/intelligent-data-analysis/ida227123?id=intelligent-data-analysis%2Fida227123","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042573201","display_name":"Da Tong","orcid":"https://orcid.org/0000-0001-6631-4529"},"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/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Tong","raw_affiliation_strings":["Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China","School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"raw_affiliation_string":"School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033646900","display_name":"Shudong Chen","orcid":"https://orcid.org/0000-0002-0781-6913"},"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/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shudong Chen","raw_affiliation_strings":["Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China","School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"raw_affiliation_string":"School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108820674","display_name":"Rong Ma","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/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Ma","raw_affiliation_strings":["Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088397803","display_name":"Donglin Qi","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/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Qi","raw_affiliation_strings":["Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China","School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"raw_affiliation_string":"School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001571390","display_name":"Yong Yu","orcid":"https://orcid.org/0000-0003-0281-8271"},"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/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yu","raw_affiliation_strings":["Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China","School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"raw_affiliation_string":"School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033646900"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.4869,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68350832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"28","issue":"1","first_page":"33","last_page":"55"},"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":0.9757999777793884,"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":0.9550999999046326,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7499096393585205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380440592765808},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.48469164967536926},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.471659779548645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3376308083534241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2762470245361328},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24747774004936218}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7499096393585205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380440592765808},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48469164967536926},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.471659779548645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3376308083534241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2762470245361328},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24747774004936218}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-227123","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ida-227123","pdf_url":"https://content.iospress.com:443/download/intelligent-data-analysis/ida227123?id=intelligent-data-analysis%2Fida227123","source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3233/ida-227123","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ida-227123","pdf_url":"https://content.iospress.com:443/download/intelligent-data-analysis/ida227123?id=intelligent-data-analysis%2Fida227123","source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390922790.pdf","grobid_xml":"https://content.openalex.org/works/W4390922790.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2184957013","https://openalex.org/W2250184916","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2432356473","https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2774837955","https://openalex.org/W2889583850","https://openalex.org/W2907510403","https://openalex.org/W2951105272","https://openalex.org/W2964350391","https://openalex.org/W2966459188","https://openalex.org/W2986711944","https://openalex.org/W3035263097","https://openalex.org/W3099387504","https://openalex.org/W3110042533","https://openalex.org/W3137637110","https://openalex.org/W3190271517","https://openalex.org/W4229024390","https://openalex.org/W6600480908","https://openalex.org/W6718112784","https://openalex.org/W6735632219"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2081900870","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Knowledge":[0],"graph":[1,197],"embedding":[2,129,188],"(KGE)":[3],"is":[4,142],"typically":[5],"used":[6],"for":[7,107,154],"link":[8,171],"prediction":[9,172],"to":[10,125,144],"automatically":[11],"predict":[12],"missing":[13],"links":[14],"in":[15,52,118],"knowledge":[16,50,196],"graphs.":[17],"Current":[18],"KGE":[19,70,121],"models":[20],"are":[21,29],"mainly":[22],"based":[23],"on":[24,80,89,169],"complicated":[25],"mathematical":[26],"associations,":[27],"which":[28],"highly":[30],"expressive":[31],"but":[32],"ignore":[33],"the":[34,37,62,81,108,134,146,162,170,185],"uniformity":[35,63,76,186],"behind":[36],"classical":[38],"bilinear":[39],"translational":[40],"model":[41,44,71,160,164],"TransE,":[42],"a":[43,53,68,95,101,127],"that":[45,74,184],"embeds":[46],"all":[47],"entities":[48],"of":[49,64,110,137,187],"graphs":[51],"uniform":[54,128,156],"space,":[55],"enabling":[56],"accurate":[57],"embeddings.":[58,198],"This":[59,113],"study":[60],"analyses":[61],"TransE":[65],"and":[66,93,166,175,180,182],"proposes":[67,87],"novel":[69],"called":[72],"ConvUs":[73,86,124,151],"follows":[75],"with":[77,100,190],"expressiveness.":[78],"Based":[79],"convolution":[82,90,141],"neural":[83],"network":[84],"(CNN),":[85],"constraints":[88],"filter":[91],"values":[92],"employs":[94],"multi-layer,":[96],"multi-scale":[97],"CNN":[98],"architecture":[99],"non-parametric":[102],"L2":[103],"norm-based":[104],"scoring":[105],"function":[106],"calculation":[109],"triple":[111],"scores.":[112],"addresses":[114],"potential":[115,147],"uniformity-related":[116],"issues":[117],"existing":[119],"CNN-based":[120],"models,":[122],"allowing":[123],"maintain":[126],"space":[130,157,189],"while":[131],"benefiting":[132],"from":[133],"powerful":[135],"expressiveness":[136,192],"CNNs.":[138],"Furthermore,":[139],"circular":[140],"applied":[143],"alleviate":[145],"orderliness":[148],"contradictions,":[149],"making":[150],"more":[152,194],"suitable":[153],"conducting":[155],"KGE.":[158],"Our":[159],"outperformed":[161],"base":[163],"ConvKB":[165],"several":[167],"baselines":[168],"benchmark":[173],"WN18RR":[174],"FB15k-237,":[176],"demonstrating":[177],"strong":[178],"applicability":[179],"generalization":[181],"indicating":[183],"high":[191],"enables":[193],"efficient":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
