{"id":"https://openalex.org/W2778810234","doi":"https://doi.org/10.1145/3132733","title":"Knowledge Graph Embedding","display_name":"Knowledge Graph Embedding","publication_year":2017,"publication_date":"2017-12-22","ids":{"openalex":"https://openalex.org/W2778810234","doi":"https://doi.org/10.1145/3132733","mag":"2778810234"},"language":"en","primary_location":{"id":"doi:10.1145/3132733","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132733","pdf_url":null,"source":{"id":"https://openalex.org/S131231701","display_name":"ACM Transactions on the Web","issn_l":"1559-1131","issn":["1559-1131","1559-114X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on the Web","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/A5100725719","display_name":"Yantao Jia","orcid":"https://orcid.org/0000-0003-0349-7617"},"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yantao Jia","raw_affiliation_strings":["CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-0349-7617","affiliations":[{"raw_affiliation_string":"CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057538607","display_name":"Yuanzhuo Wang","orcid":"https://orcid.org/0000-0002-6799-1756"},"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzhuo Wang","raw_affiliation_strings":["CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102843658","display_name":"Xiaolong Jin","orcid":"https://orcid.org/0000-0003-3244-3941"},"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Jin","raw_affiliation_strings":["CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113893497","display_name":"Hailun Lin","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/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailun Lin","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029998682","display_name":"Xueqi Cheng","orcid":"https://orcid.org/0000-0002-5201-8195"},"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Cheng","raw_affiliation_strings":["CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6815,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.94287957,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":"2","first_page":"1","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9847999811172485,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7151732444763184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6598774790763855},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5629706382751465},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5209490060806274},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.49980807304382324},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43925705552101135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24623286724090576}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7151732444763184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6598774790763855},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5629706382751465},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5209490060806274},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.49980807304382324},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43925705552101135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24623286724090576}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132733","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132733","pdf_url":null,"source":{"id":"https://openalex.org/S131231701","display_name":"ACM Transactions on the Web","issn_l":"1559-1131","issn":["1559-1131","1559-114X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on the Web","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G494943054","display_name":null,"funder_award_id":"61402442, 61572469, 91646120, 61572473, 61303244 and 61402124","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":67,"referenced_works":["https://openalex.org/W27434444","https://openalex.org/W68132019","https://openalex.org/W116152025","https://openalex.org/W216848315","https://openalex.org/W1426956448","https://openalex.org/W1512387364","https://openalex.org/W1596986901","https://openalex.org/W1752482607","https://openalex.org/W1864134408","https://openalex.org/W1868018859","https://openalex.org/W1910578190","https://openalex.org/W1954241630","https://openalex.org/W1986326495","https://openalex.org/W2013912476","https://openalex.org/W2014987111","https://openalex.org/W2044696584","https://openalex.org/W2081580037","https://openalex.org/W2087347434","https://openalex.org/W2092045293","https://openalex.org/W2094728533","https://openalex.org/W2097998348","https://openalex.org/W2099752825","https://openalex.org/W2101802482","https://openalex.org/W2102363952","https://openalex.org/W2106053110","https://openalex.org/W2123228027","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2136284997","https://openalex.org/W2138605095","https://openalex.org/W2139338362","https://openalex.org/W2150159277","https://openalex.org/W2151078464","https://openalex.org/W2156909104","https://openalex.org/W2158001550","https://openalex.org/W2158915909","https://openalex.org/W2163922914","https://openalex.org/W2165417234","https://openalex.org/W2169527548","https://openalex.org/W2171253691","https://openalex.org/W2172684358","https://openalex.org/W2183546310","https://openalex.org/W2184957013","https://openalex.org/W2241862190","https://openalex.org/W2247119764","https://openalex.org/W2253809915","https://openalex.org/W2268966618","https://openalex.org/W2283196293","https://openalex.org/W2295781860","https://openalex.org/W2336938381","https://openalex.org/W2417677256","https://openalex.org/W2468628149","https://openalex.org/W2604454537","https://openalex.org/W2607662938","https://openalex.org/W2739373984","https://openalex.org/W2916803445","https://openalex.org/W2930957955","https://openalex.org/W2951774898","https://openalex.org/W2965478150","https://openalex.org/W3000680563","https://openalex.org/W3100809613","https://openalex.org/W3122868618","https://openalex.org/W3126976873","https://openalex.org/W4230674625","https://openalex.org/W4239939300","https://openalex.org/W4285719527","https://openalex.org/W6674385629"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W4206028705","https://openalex.org/W2808284704","https://openalex.org/W2897702399","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W3200431764","https://openalex.org/W4288286922","https://openalex.org/W2883748392","https://openalex.org/W2932872266"],"abstract_inverted_index":{"A":[0],"knowledge":[1,23,56,109,147,166,197],"graph":[2,5,45,57,148],"is":[3,91,152,173,206],"a":[4,54,61,79,100,141],"with":[6,111],"entities":[7,50,113],"of":[8,22,103,120,125,134,171,178,225],"different":[9,112,165],"types":[10],"as":[11,18,33,58,229],"nodes":[12],"and":[13,41,51,71,114,191],"various":[14],"relations":[15,52,115],"among":[16,99],"them":[17],"edges.":[19],"The":[20],"construction":[21],"graphs":[24,110],"in":[25,53,60],"the":[26,74,85,88,117,123,131,156,169,176,184,196,199,211,223,226,232],"past":[27],"decades":[28],"facilitates":[29],"many":[30],"applications,":[31],"such":[32],"link":[34],"prediction,":[35],"web":[36],"search":[37],"analysis,":[38],"question":[39],"answering,":[40],"so":[42],"on.":[43],"Knowledge":[44],"embedding":[46,75,135,185],"aims":[47],"to":[48,130,154,231],"represent":[49],"large-scale":[55],"elements":[59],"continuous":[62],"vector":[63],"space.":[64],"Existing":[65],"methods,":[66],"for":[67,146,202],"example,":[68],"TransE,":[69],"TransH,":[70],"TransR,":[72],"learn":[73],"representation":[76],"by":[77,159,208],"defining":[78],"global":[80],"margin-based":[81],"loss":[82,89,157],"function":[83,90,158],"over":[84,107,164,214],"data.":[86],"However,":[87],"determined":[92],"during":[93],"experiments":[94],"whose":[95],"parameters":[96],"are":[97,193],"examined":[98],"closed":[101],"set":[102,119],"candidates.":[104],"Moreover,":[105],"embeddings":[106],"two":[108],"share":[116],"same":[118],"candidates,":[121],"ignoring":[122],"locality":[124],"both":[126],"graphs.":[127,167],"This":[128],"leads":[129],"limited":[132],"performance":[133],"related":[136],"applications.":[137],"In":[138],"this":[139],"article,":[140],"locally":[142],"adaptive":[143],"translation":[144],"method":[145],"embedding,":[149],"called":[150,204],"TransA,":[151,203],"proposed":[153,207,227],"find":[155],"adaptively":[160,209],"determining":[161],"its":[162,179],"margin":[163,213],"Then":[168],"convergence":[170],"TransA":[172],"verified":[174],"from":[175],"aspect":[177],"uniform":[180],"stability.":[181],"To":[182],"make":[183],"methods":[186],"up-to-date":[187],"when":[188],"new":[189],"vertices":[190],"edges":[192],"added":[194],"into":[195],"graph,":[198],"incremental":[200],"algorithm":[201],"iTransA,":[205],"adjusting":[210],"optimal":[212],"time.":[215],"Experiments":[216],"on":[217],"four":[218],"benchmark":[219],"data":[220],"sets":[221],"demonstrate":[222],"superiority":[224],"method,":[228],"compared":[230],"state-of-the-art":[233],"ones.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}