{"id":"https://openalex.org/W2604454537","doi":"https://doi.org/10.1145/3106426.3106447","title":"Efficient parallel translating embedding for knowledge graphs","display_name":"Efficient parallel translating embedding for knowledge graphs","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2604454537","doi":"https://doi.org/10.1145/3106426.3106447","mag":"2604454537"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3106447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106447","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1703.10316","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101638181","display_name":"Denghui Zhang","orcid":"https://orcid.org/0000-0002-8452-5925"},"institutions":[{"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":true,"raw_author_name":"Denghui Zhang","raw_affiliation_strings":["Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052644952","display_name":"Manling Li","orcid":"https://orcid.org/0000-0002-5543-3343"},"institutions":[{"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":"Manling Li","raw_affiliation_strings":["Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725719","display_name":"Yantao Jia","orcid":"https://orcid.org/0000-0003-0349-7617"},"institutions":[{"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":["Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Beijing, China","institution_ids":["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/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":["Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"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/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":["Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101638181"],"corresponding_institution_ids":["https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.5835,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.75179684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"460","last_page":"468"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9936000108718872,"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":0.9886000156402588,"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":0.8964735865592957},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.8283341526985168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6825644373893738},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.535664439201355},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47376683354377747},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.4721427261829376},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42784327268600464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3844141960144043}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8964735865592957},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.8283341526985168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6825644373893738},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.535664439201355},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47376683354377747},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.4721427261829376},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42784327268600464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3844141960144043},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3106426.3106447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106447","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1703.10316","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.10316","pdf_url":"https://arxiv.org/pdf/1703.10316","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1703.10316","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.10316","pdf_url":"https://arxiv.org/pdf/1703.10316","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5209653747","display_name":null,"funder_award_id":"2014431, 2016102","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"},{"id":"https://openalex.org/G6917294611","display_name":null,"funder_award_id":"61572469, 61402442, 91646120,61572473, 61402022","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"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W804133461","https://openalex.org/W1426956448","https://openalex.org/W2016753842","https://openalex.org/W2044696584","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2127795553","https://openalex.org/W2133941677","https://openalex.org/W2146502635","https://openalex.org/W2168231600","https://openalex.org/W2184957013","https://openalex.org/W2271840356","https://openalex.org/W2283196293","https://openalex.org/W2294137921","https://openalex.org/W2404374318","https://openalex.org/W2523246573","https://openalex.org/W2612708909","https://openalex.org/W2899443645","https://openalex.org/W2949198759","https://openalex.org/W2951781666","https://openalex.org/W2964007976","https://openalex.org/W3136506209"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2808284704","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W3200431764","https://openalex.org/W4288286922","https://openalex.org/W4206547516","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Knowledge":[0],"graph":[1,37],"embedding":[2,17,38,84,113],"aims":[3],"to":[4,27,92],"embed":[5],"entities":[6,26],"and":[7,65,120],"relations":[8,20],"of":[9,44,102,142],"knowledge":[10,36,63,103],"graphs":[11],"into":[12],"low-dimensional":[13],"vector":[14],"spaces.":[15],"Translating":[16],"methods":[18,46,91],"regard":[19],"as":[21],"the":[22,32,48,90,99,134],"translation":[23],"from":[24],"head":[25],"tail":[28],"entities,":[29],"which":[30,53,88],"achieve":[31],"state-of-the-art":[33],"results":[34],"among":[35],"methods.":[39],"However,":[40],"a":[41,121],"major":[42],"limitation":[43],"these":[45],"is":[47],"time":[49],"consuming":[50],"training":[51,135],"process,":[52],"may":[54],"take":[55],"several":[56],"days":[57],"or":[58],"even":[59],"weeks":[60],"for":[61,82],"large":[62],"graphs,":[64],"result":[66],"in":[67,70],"great":[68],"difficulty":[69],"practical":[71],"applications.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76],"propose":[77],"an":[78,140],"efficient":[79,123],"parallel":[80],"framework":[81],"translating":[83,112],"methods,":[85,114],"called":[86],"ParTrans-X,":[87],"enables":[89],"be":[93],"paralleled":[94],"without":[95],"locks":[96],"by":[97,137],"utilizing":[98],"distinguished":[100],"structures":[101],"graphs.":[104],"Experiments":[105],"on":[106],"two":[107],"datasets":[108],"with":[109],"three":[110],"typical":[111],"i.e.,":[115],"TransE":[116],"[3],":[117],"TransH":[118],"[19],":[119],"more":[122,138],"variant":[124],"TransE-":[125],"AdaGrad":[126],"[11]":[127],"validate":[128],"that":[129],"ParTrans-X":[130],"can":[131],"speed":[132],"up":[133],"process":[136],"than":[139],"order":[141],"magnitude.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
