{"id":"https://openalex.org/W2897817729","doi":"https://doi.org/10.1109/access.2018.2875066","title":"Triple Context-Based Knowledge Graph Embedding","display_name":"Triple Context-Based Knowledge Graph Embedding","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2897817729","doi":"https://doi.org/10.1109/access.2018.2875066","mag":"2897817729"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2875066","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875066","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2875066","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Huan Gao","orcid":"https://orcid.org/0000-0002-8267-2569"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Gao","raw_affiliation_strings":["Computer Science and Engineering Institute, Southeast University, Nanjing, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-8267-2569","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Institute, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690273","display_name":"Jun Shi","orcid":"https://orcid.org/0000-0003-1647-7762"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Shi","raw_affiliation_strings":["Computer Science and Engineering Institute, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Institute, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034606659","display_name":"Guilin Qi","orcid":"https://orcid.org/0000-0003-0150-7236"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guilin Qi","raw_affiliation_strings":["Computer Science and Engineering Institute, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Institute, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377137","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-2293-1709"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Computer Science and Engineering Institute, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Institute, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0525,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89892308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"58978","last_page":"58989"},"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":0.9976000189781189,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.7621065974235535},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6927320957183838},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5990192890167236},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5447041988372803},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5256891250610352},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5063081979751587},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4577940106391907},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.4316178858280182},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.4284954071044922},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.42140066623687744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4043236970901489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7621065974235535},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6927320957183838},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5990192890167236},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5447041988372803},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5256891250610352},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5063081979751587},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4577940106391907},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.4316178858280182},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.4284954071044922},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.42140066623687744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4043236970901489},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2875066","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875066","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4f59f7670c934e009ab035746866315d","is_oa":true,"landing_page_url":"https://doaj.org/article/4f59f7670c934e009ab035746866315d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 58978-58989 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2875066","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875066","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G4151298668","display_name":"\u57fa\u4e8e\u56fe\u7684\u63cf\u8ff0\u903b\u8f91\u9ad8\u6548\u975e\u6807\u51c6\u63a8\u7406\u6280\u672f\u7684\u7814\u7a76","funder_award_id":"61762063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W205829674","https://openalex.org/W1426956448","https://openalex.org/W1533230146","https://openalex.org/W1756422141","https://openalex.org/W1888005072","https://openalex.org/W2016753842","https://openalex.org/W2022166150","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2158028897","https://openalex.org/W2158781217","https://openalex.org/W2184957013","https://openalex.org/W2226877337","https://openalex.org/W2247119764","https://openalex.org/W2250342289","https://openalex.org/W2250635077","https://openalex.org/W2283196293","https://openalex.org/W2432356473","https://openalex.org/W2460319482","https://openalex.org/W2556343638","https://openalex.org/W2558476738","https://openalex.org/W2563063592","https://openalex.org/W2579831760","https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2740934577","https://openalex.org/W2767271448","https://openalex.org/W2951723246","https://openalex.org/W2962936385","https://openalex.org/W2963432357","https://openalex.org/W2963503534","https://openalex.org/W2964116313","https://openalex.org/W3104097132","https://openalex.org/W3126976873","https://openalex.org/W4294170691","https://openalex.org/W6604189946","https://openalex.org/W6608344535","https://openalex.org/W6610080458","https://openalex.org/W6637805884","https://openalex.org/W6638311095","https://openalex.org/W6678830454","https://openalex.org/W6678846912","https://openalex.org/W6682691769","https://openalex.org/W6683404736","https://openalex.org/W6683461794","https://openalex.org/W6686133869","https://openalex.org/W6695596964","https://openalex.org/W6718112784","https://openalex.org/W6730368328","https://openalex.org/W6732517699","https://openalex.org/W6734023787","https://openalex.org/W6735632219","https://openalex.org/W6740216407"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2808284704","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197","https://openalex.org/W2883748392"],"abstract_inverted_index":{"Knowledge":[0],"graph":[1,12,102,136],"embedding":[2,120,167],"aims":[3],"to":[4,25,171],"represent":[5],"entities":[6,121,145,183],"and":[7,46,82,122,184],"relations":[8,81],"of":[9,61,76,115,132,135,143,156,163,176,182],"a":[10,62,98,141,154,161],"knowledge":[11,66,101,107],"in":[13,28,64,193],"continuous":[14],"vector":[15],"spaces.":[16],"It":[17],"has":[18],"increasingly":[19],"drawn":[20],"attention":[21],"for":[22,74,91,119],"its":[23,35],"ability":[24],"encode":[26],"semantics":[27],"low":[29],"dimensional":[30],"vectors":[31],"as":[32,34,42],"well":[33],"outstanding":[36],"performance":[37],"on":[38,112,190],"many":[39],"applications,":[40],"such":[41,68],"question":[43],"answering":[44],"systems":[45],"information":[47,60,70,90],"retrieval":[48],"tasks.":[49],"Existing":[50],"methods":[51],"often":[52],"handle":[53],"each":[54,125,177],"triple":[55,63,128,174,178],"independently,":[56],"without":[57],"considering":[58],"context":[59,129,175],"the":[65,80,113,127,151,173,194,206],"graph,":[67],"an":[69,85],"can":[71],"be":[72],"useful":[73],"inference":[75],"new":[77],"knowledge.":[78],"Moreover,":[79],"paths":[83,158],"between":[84],"entity":[86],"pair":[87,162],"also":[88],"provide":[89],"inference.":[92],"In":[93],"this":[94],"paper,":[95],"we":[96],"define":[97],"novel":[99],"context-dependent":[100],"representation":[103],"model":[104],"named":[105],"triple-context-based":[106],"embedding,":[108],"which":[109,159],"is":[110,130,140,153,169,188],"based":[111],"notion":[114],"<italic>triple":[116],"context</italic>":[117],"used":[118],"relations.":[123,185],"For":[124],"triple,":[126],"composed":[131],"two":[133],"kinds":[134],"structured":[137],"information:":[138],"one":[139],"set":[142,155],"neighboring":[144],"along":[146],"with":[147],"their":[148],"outgoing":[149],"relations,":[150],"other":[152],"relation":[157],"contain":[160],"target":[164],"entities.":[165],"Our":[166],"method":[168,187,201],"designed":[170],"utilize":[172],"while":[179],"learning":[180],"embeddings":[181],"The":[186],"evaluated":[189],"multiple":[191],"tasks":[192],"paper.":[195],"Experimental":[196],"results":[197],"reveal":[198],"that":[199],"our":[200],"achieves":[202],"significant":[203],"improvements":[204],"over":[205],"state-of-the-art":[207],"methods.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}