{"id":"https://openalex.org/W2789609995","doi":"https://doi.org/10.1109/access.2018.2797876","title":"GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces","display_name":"GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2789609995","doi":"https://doi.org/10.1109/access.2018.2797876","mag":"2789609995"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2797876","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2797876","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.2018.2797876","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060371329","display_name":"Zhen Tan","orcid":"https://orcid.org/0000-0001-8643-4683"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Tan","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014937762","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-6339-0219"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6339-0219","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004606411","display_name":"Yang Fang","orcid":"https://orcid.org/0000-0003-3565-2482"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Fang","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106942630","display_name":"Weidong Xiao","orcid":"https://orcid.org/0000-0002-6957-3769"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Xiao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1294,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90002528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"8232","last_page":"8244"},"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/T10028","display_name":"Topic Modeling","score":0.998199999332428,"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":0.973800003528595,"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/embedding","display_name":"Embedding","score":0.7475628852844238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7011650204658508},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6176543235778809},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5822017788887024},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.5048671364784241},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4694860577583313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4354199171066284},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.42709147930145264},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.421700656414032},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4181394875049591},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23368042707443237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22506016492843628},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.09042578935623169}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7475628852844238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011650204658508},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6176543235778809},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5822017788887024},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.5048671364784241},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4694860577583313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4354199171066284},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.42709147930145264},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.421700656414032},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4181394875049591},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23368042707443237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22506016492843628},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.09042578935623169},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2797876","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2797876","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:a540710172254c85b729e59f59a6e980","is_oa":true,"landing_page_url":"https://doaj.org/article/a540710172254c85b729e59f59a6e980","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 8232-8244 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2797876","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2797876","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":[],"awards":[{"id":"https://openalex.org/G2372033617","display_name":null,"funder_award_id":"71690233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5315980042","display_name":"\u7f51\u7edc\u73af\u5883\u4e0b\u793e\u4f1a\u7ba1\u7406\u7684\u7ec4\u7ec7\u5efa\u6a21\u4e0e\u8ba1\u7b97\u5b9e\u9a8c\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71331008","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W68132019","https://openalex.org/W1533230146","https://openalex.org/W1596986901","https://openalex.org/W1889268436","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2101802482","https://openalex.org/W2123228027","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2145544171","https://openalex.org/W2172684358","https://openalex.org/W2184957013","https://openalex.org/W2247119764","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2432356473","https://openalex.org/W2499696929","https://openalex.org/W2584059755","https://openalex.org/W2949972983","https://openalex.org/W2963276152","https://openalex.org/W2963432357","https://openalex.org/W2964007976","https://openalex.org/W2998704965","https://openalex.org/W4285719527","https://openalex.org/W6635815790","https://openalex.org/W6639364127","https://openalex.org/W6675255137","https://openalex.org/W6678347102","https://openalex.org/W6678830454","https://openalex.org/W6678846912","https://openalex.org/W6680532216","https://openalex.org/W6681270447","https://openalex.org/W6685424121","https://openalex.org/W6686133869","https://openalex.org/W6693832603","https://openalex.org/W6695596964","https://openalex.org/W6718112784","https://openalex.org/W6724366048","https://openalex.org/W6766031223"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2883748392","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"],"abstract_inverted_index":{"Knowledge":[0],"graph":[1],"embedding":[2,59],"aims":[3],"to":[4,14,39,51,98,158],"construct":[5],"a":[6,36,93,112,169],"low-dimensional":[7],"and":[8,20,70,78,91,117,128,148,151,206,213],"continuous":[9],"space,":[10],"which":[11,34,48,176],"is":[12,49,109,218],"able":[13],"describe":[15,160],"the":[16,41,45,52,64,68,86,101,121,131,142,163,180,188],"semantics":[17],"of":[18,47,88,114,141,182],"high-dimensional":[19],"sparse":[21],"knowledge":[22],"graphs.":[23],"Among":[24],"existing":[25,102,223],"solutions,":[26],"translation":[27,61,89,103],"models":[28,62],"have":[29],"drawn":[30],"much":[31],"attention":[32],"lately,":[33],"use":[35],"relation":[37,171,192],"vector":[38],"translate":[40],"head":[42],"entity":[43,54,108,125],"vector,":[44],"result":[46],"close":[50],"tail":[53],"vector.":[55],"Compared":[56],"with":[57,201],"classical":[58],"methods,":[60],"achieve":[63],"state-of-the-art":[65],"performance;":[66],"nonetheless,":[67],"rationale":[69],"mechanism":[71],"behind":[72],"them":[73],"still":[74],"aspire":[75],"after":[76],"understanding":[77],"investigation.":[79],"In":[80,105,194],"this":[81],"connection,":[82],"we":[83,196],"quest":[84],"into":[85],"essence":[87],"models,":[90],"present":[92],"generic":[94],"model,":[95],"namely,":[96],"GTrans,":[97,106],"entail":[99],"all":[100],"models.":[104],"each":[107,174],"interpreted":[110],"by":[111,136,220],"combination":[113],"two":[115,143,202],"states-eigenstate":[116],"mimesis.":[118],"Eigenstate":[119],"represents":[120],"features":[122,132],"that":[123,133,217],"an":[124],"intrinsically":[126],"owns,":[127],"mimesis":[129],"expresses":[130],"are":[134,155],"affected":[135],"associated":[137],"relations.":[138],"The":[139],"weighting":[140,153],"states":[144],"can":[145],"be":[146],"tuned,":[147],"hence,":[149],"dynamic":[150,170],"static":[152],"strategies":[154],"put":[156],"forward":[157],"best":[159],"entities":[161],"in":[162],"problem":[164],"domain.":[165],"Besides,":[166],"GTrans":[167,221],"incorporates":[168],"space":[172],"for":[173],"relation,":[175],"not":[177],"only":[178],"enables":[179],"flexibility":[181],"our":[183,198],"model":[184,200],"but":[185],"also":[186],"reduces":[187],"noise":[189],"from":[190],"other":[191],"spaces.":[193],"experiments,":[195],"evaluate":[197],"proposed":[199],"benchmark":[203],"tasks-triplets":[204],"classification":[205],"link":[207],"prediction.":[208],"Experiment":[209],"results":[210],"witness":[211],"significant":[212],"consistent":[214],"performance":[215],"gain":[216],"offered":[219],"over":[222],"alternatives.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
