{"id":"https://openalex.org/W4285095611","doi":"https://doi.org/10.3233/ida-216007","title":"Knowledge graph embedding with entity attributes using hypergraph neural networks","display_name":"Knowledge graph embedding with entity attributes using hypergraph neural networks","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4285095611","doi":"https://doi.org/10.3233/ida-216007"},"language":"en","primary_location":{"id":"doi:10.3233/ida-216007","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-216007","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101052844","display_name":"Youwei Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"You-Wei Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330903","display_name":"Hongjun Zhang","orcid":"https://orcid.org/0000-0002-6708-5956"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong-Jun Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101736935","display_name":"Kai Cheng","orcid":"https://orcid.org/0000-0002-7051-8476"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056473574","display_name":"Xiang-Lin Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang-Lin Liao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321165","display_name":"Zixuan Zhang","orcid":"https://orcid.org/0000-0003-1679-5322"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zi-Xuan Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100755281","display_name":"Yunbo Li","orcid":"https://orcid.org/0000-0002-8231-6580"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun-Bo Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101052844"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.971,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79466663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"26","issue":"4","first_page":"959","last_page":"975"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9728999733924866,"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/T10028","display_name":"Topic Modeling","score":0.964900016784668,"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/hypergraph","display_name":"Hypergraph","score":0.8698571920394897},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7582194805145264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7291965484619141},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5821080803871155},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5598968863487244},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.512206494808197},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.48516637086868286},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4533100724220276},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45105376839637756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3972894847393036},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3947586119174957},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3561750054359436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1714317500591278},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.07277131080627441}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8698571920394897},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7582194805145264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291965484619141},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5821080803871155},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5598968863487244},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.512206494808197},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.48516637086868286},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4533100724220276},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45105376839637756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3972894847393036},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3947586119174957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3561750054359436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1714317500591278},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.07277131080627441},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ida-216007","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-216007","pdf_url":null,"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":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1512387364","https://openalex.org/W2016753842","https://openalex.org/W2022166150","https://openalex.org/W2094728533","https://openalex.org/W2101848544","https://openalex.org/W2122865749","https://openalex.org/W2184957013","https://openalex.org/W2250184916","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2433281745","https://openalex.org/W2499696929","https://openalex.org/W2526174222","https://openalex.org/W2556343638","https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2774837955","https://openalex.org/W2885483808","https://openalex.org/W2890216969","https://openalex.org/W2891112820","https://openalex.org/W2891417293","https://openalex.org/W2892880750","https://openalex.org/W2900531459","https://openalex.org/W2903963001","https://openalex.org/W2914592219","https://openalex.org/W2949972983","https://openalex.org/W2950393809","https://openalex.org/W2951105272","https://openalex.org/W2963606508","https://openalex.org/W2964161331","https://openalex.org/W2964263523","https://openalex.org/W2964855489","https://openalex.org/W2969471275","https://openalex.org/W2981612821","https://openalex.org/W2996775350","https://openalex.org/W2996913633","https://openalex.org/W2997771882","https://openalex.org/W3000431166","https://openalex.org/W3033754547","https://openalex.org/W3035531911","https://openalex.org/W3080122044","https://openalex.org/W3085990079","https://openalex.org/W3099387504","https://openalex.org/W3103296573"],"related_works":["https://openalex.org/W1532260067","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2123605750","https://openalex.org/W2912814903","https://openalex.org/W2088740331","https://openalex.org/W2950907416","https://openalex.org/W3038102983","https://openalex.org/W2082479932","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Knowledge":[0,80],"graph":[1,29,52],"embedding":[2,30,53],"is":[3,84,92,115],"aimed":[4],"at":[5,102],"capturing":[6],"the":[7,14,57,63,67,88,96,125,140,146,152],"semantic":[8],"information":[9,16,59,65,111,114],"of":[10,66,127,154],"entities":[11,21,68,99],"by":[12],"modeling":[13],"structural":[15,25,58,113],"between":[17,98,109],"entities.":[18,157],"For":[19],"long-tail":[20],"which":[22],"lack":[23],"sufficient":[24],"information,":[26],"general":[27,50],"knowledge":[28,51],"models":[31],"often":[32],"show":[33,138],"relatively":[34],"low":[35],"performance":[36],"in":[37,151],"link":[38,129,147],"prediction.":[39],"In":[40],"order":[41],"to":[42,55,94,122],"solve":[43],"such":[44],"problems,":[45],"this":[46,71],"paper":[47],"proposes":[48],"a":[49,73,103],"framework":[54],"learn":[56],"as":[60,62],"well":[61],"attribute":[64,110],"simultaneously.":[69],"Under":[70],"framework,":[72],"H-AKRL":[74,121,141],"(Hypergraph":[75],"Neural":[76],"Networks":[77],"based":[78],"Attribute-embodied":[79],"Representation":[81],"Learning)":[82],"model":[83,95,142],"put":[85],"forward,":[86],"where":[87],"hypergraph":[89],"neural":[90],"network":[91],"used":[93],"correlation":[97],"and":[100,112],"attributes":[101],"higher":[104],"level.":[105],"The":[106],"complementary":[107],"relationship":[108],"taken":[116],"full":[117],"advantage":[118],"of,":[119],"enabling":[120],"finally":[123],"achieve":[124],"goal":[126],"improving":[128],"prediction":[130,148],"performance.":[131],"Experiments":[132],"on":[133],"multiple":[134],"real-world":[135],"data":[136],"sets":[137],"that":[139],"has":[143],"significantly":[144],"improved":[145],"performance,":[149],"especially":[150],"embeddings":[153],"long":[155],"tail":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}