{"id":"https://openalex.org/W2963406064","doi":"https://doi.org/10.24963/ijcai.2017/250","title":"Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach","display_name":"Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2963406064","doi":"https://doi.org/10.24963/ijcai.2017/250","mag":"2963406064"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/250","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/250","pdf_url":"https://www.ijcai.org/proceedings/2017/0250.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0250.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053395485","display_name":"Takuo Hamaguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuo Hamaguchi","raw_affiliation_strings":["NARA Institute of Science and Technology","Nara Institute of Science and Technology, Ikoma, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NARA Institute of Science and Technology","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology, Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042638926","display_name":"Hidekazu Oiwa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hidekazu Oiwa","raw_affiliation_strings":["Recruit Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Recruit Institute of Technology","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055086415","display_name":"Masashi Shimbo","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masashi Shimbo","raw_affiliation_strings":["NARA Institute of Science and Technology","Nara Institute of Science and Technology, Ikoma, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NARA Institute of Science and Technology","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology, Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072032804","display_name":"Y\u016bji Matsumoto","orcid":"https://orcid.org/0000-0003-4946-9574"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuji Matsumoto","raw_affiliation_strings":["NARA Institute of Science and Technology","Nara Institute of Science and Technology, Ikoma, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NARA Institute of Science and Technology","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology, Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":295,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1802","last_page":"1808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9940000176429749,"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":0.9887999892234802,"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":0.8020777702331543},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.775678277015686},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.77146977186203},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.6959157586097717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5602298378944397},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5496736764907837},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5165402293205261},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.503295361995697},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4987602233886719},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49547016620635986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46093904972076416},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37992507219314575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3371526002883911},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07194599509239197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020777702331543},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.775678277015686},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.77146977186203},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.6959157586097717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5602298378944397},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5496736764907837},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5165402293205261},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.503295361995697},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4987602233886719},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49547016620635986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46093904972076416},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37992507219314575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3371526002883911},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07194599509239197},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/250","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/250","pdf_url":"https://www.ijcai.org/proceedings/2017/0250.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/250","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/250","pdf_url":"https://www.ijcai.org/proceedings/2017/0250.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8135446088","display_name":"New development in hubness-aware metric learning in high dimensional data","funder_award_id":"15H02749","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963406064.pdf","grobid_xml":"https://content.openalex.org/works/W2963406064.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1529533208","https://openalex.org/W1836465849","https://openalex.org/W2116341502","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2158028897","https://openalex.org/W2184957013","https://openalex.org/W2194775991","https://openalex.org/W2250342289","https://openalex.org/W2250807343","https://openalex.org/W2283196293","https://openalex.org/W2415243320","https://openalex.org/W2433281745","https://openalex.org/W2460423734","https://openalex.org/W2468628149","https://openalex.org/W2509435444","https://openalex.org/W2514852614","https://openalex.org/W2950898568","https://openalex.org/W2963380480","https://openalex.org/W2963534707","https://openalex.org/W2964321699","https://openalex.org/W2997574889","https://openalex.org/W4386506836"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W4206028705","https://openalex.org/W3182020042","https://openalex.org/W2808284704","https://openalex.org/W2883748392","https://openalex.org/W2897702399","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W3200431764","https://openalex.org/W4288286922"],"abstract_inverted_index":{"Knowledge":[0],"base":[1],"completion":[2],"(KBC)":[3],"aims":[4],"to":[5,26,55,78],"predict":[6],"missing":[7],"information":[8],"in":[9,23,104,109,114],"a":[10],"knowledge":[11,89],"base.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16,72],"address":[17],"the":[18,66,80,86,98,105,110,127],"out-of-knowledge-base":[19],"(OOKB)":[20],"entity":[21,68],"problem":[22,69],"KBC:":[24],"how":[25,54],"answer":[27],"queries":[28],"concerning":[29],"test":[30,44,92],"entities":[31,45,60,117],"not":[32,119],"observed":[33],"at":[34,48,91],"training":[35,49],"time.":[36,93],"Existing":[37],"embedding-based":[38],"KBC":[39,112],"models":[40],"assume":[41],"that":[42],"all":[43],"are":[46,118],"available":[47],"time,":[50],"making":[51],"it":[52],"unclear":[53],"obtain":[56],"embeddings":[57,81],"for":[58],"new":[59],"without":[61,70],"costly":[62],"retraining.":[63],"To":[64],"solve":[65],"OOKB":[67,83,106,116],"retraining,":[71],"use":[73],"graph":[74],"neural":[75],"networks":[76],"(Graph-NNs)":[77],"compute":[79],"of":[82,100],"entities,":[84],"exploiting":[85],"limited":[87],"auxiliary":[88],"provided":[90],"The":[94],"experimental":[95],"results":[96],"show":[97],"effectiveness":[99],"our":[101,121],"proposed":[102],"model":[103,122],"setting.":[107],"Additionally,":[108],"standard":[111],"setting":[113],"which":[115],"involved,":[120],"achieves":[123],"state-of-the-art":[124],"performance":[125],"on":[126],"WordNet":[128],"dataset.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":44},{"year":2023,"cited_by_count":43},{"year":2022,"cited_by_count":63},{"year":2021,"cited_by_count":54},{"year":2020,"cited_by_count":34},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}