{"id":"https://openalex.org/W2585270596","doi":"https://doi.org/10.1145/3018661.3018695","title":"Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction","display_name":"Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction","publication_year":2017,"publication_date":"2017-02-02","ids":{"openalex":"https://openalex.org/W2585270596","doi":"https://doi.org/10.1145/3018661.3018695","mag":"2585270596"},"language":"en","primary_location":{"id":"doi:10.1145/3018661.3018695","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3018661.3018695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-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/A5103069680","display_name":"Yi Tay","orcid":"https://orcid.org/0000-0001-6896-4496"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yi Tay","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050386762","display_name":"Anh Tuan Luu","orcid":"https://orcid.org/0000-0002-1927-9895"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Anh Tuan Luu","raw_affiliation_strings":["Institute for Infocomm Research, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111739946","display_name":"Siu Cheung Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Siu Cheung Hui","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026608646","display_name":"Falk Brauer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Falk Brauer","raw_affiliation_strings":["In Mind Cloud, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"In Mind Cloud, Singapore, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103069680"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":2.3403,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90885024,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"751","last_page":"760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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":0.9980999827384949,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8163918256759644},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.689615786075592},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4970109760761261},{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.4935191869735718},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4909422695636749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48400136828422546},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47772595286369324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45453977584838867},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43571650981903076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4213634729385376},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3585960865020752},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13172951340675354},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13027501106262207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10254180431365967}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8163918256759644},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.689615786075592},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4970109760761261},{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.4935191869735718},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4909422695636749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48400136828422546},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47772595286369324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45453977584838867},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43571650981903076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4213634729385376},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3585960865020752},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13172951340675354},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13027501106262207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10254180431365967},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3018661.3018695","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3018661.3018695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W111803032","https://openalex.org/W205829674","https://openalex.org/W1756422141","https://openalex.org/W1910578190","https://openalex.org/W2028778237","https://openalex.org/W2099752825","https://openalex.org/W2101802482","https://openalex.org/W2102363952","https://openalex.org/W2103392911","https://openalex.org/W2119741678","https://openalex.org/W2121739212","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2145544171","https://openalex.org/W2184957013","https://openalex.org/W2253654881","https://openalex.org/W2283196293","https://openalex.org/W2911964244","https://openalex.org/W2930957955","https://openalex.org/W2951131188","https://openalex.org/W4299828299","https://openalex.org/W6681270447"],"related_works":["https://openalex.org/W4285069850","https://openalex.org/W2891970004","https://openalex.org/W4240963716","https://openalex.org/W1974634278","https://openalex.org/W1996916724","https://openalex.org/W1596637634","https://openalex.org/W2321918740","https://openalex.org/W2900794160","https://openalex.org/W3216281372","https://openalex.org/W4379519626"],"abstract_inverted_index":{"Link":[0],"prediction":[1,124,163],"on":[2,40,106,132],"knowledge":[3,65,114,141],"graphs":[4,66],"is":[5,43,59,148],"useful":[6],"in":[7,117],"numerous":[8],"application":[9],"areas":[10],"such":[11],"as":[12],"semantic":[13],"search,":[14],"question":[15],"answering,":[16],"entity":[17],"disambiguation,":[18],"enterprise":[19],"decision":[20],"support,":[21],"recommender":[22],"systems":[23],"and":[24,37,51,71,121,137,154],"so":[25],"on.":[26],"While":[27],"many":[28,79],"of":[29,76,80,91,127],"these":[30,56,81],"applications":[31],"require":[32],"a":[33,101,113],"reasonably":[34],"quick":[35],"response":[36],"may":[38,72],"operate":[39],"data":[41],"that":[42,64,145],"constantly":[44],"changing,":[45],"existing":[46],"methods":[47,82,93],"often":[48,68],"lack":[49],"speed":[50],"adaptability":[52],"to":[53,160],"cope":[54],"with":[55],"requirements.":[57],"This":[58],"aggravated":[60],"by":[61,94],"the":[62,89,162],"fact":[63],"are":[67],"extremely":[69],"large":[70],"easily":[73],"contain":[74],"millions":[75],"entities":[77],"rendering":[78],"impractical.":[83],"In":[84],"this":[85],"paper,":[86],"we":[87],"address":[88],"weaknesses":[90],"current":[92],"proposing":[95],"Random":[96],"Semantic":[97],"Tensor":[98],"Ensemble":[99],"(RSTE),":[100],"scalable":[102],"ensemble-enabled":[103],"framework":[104],"based":[105],"tensor":[107,116,128],"factorization.":[108,129],"Our":[109,130],"proposed":[110],"approach":[111,147],"samples":[112],"graph":[115,119],"its":[118],"representation":[120],"performs":[122],"link":[123],"via":[125],"ensembles":[126],"experiments":[131],"both":[133],"publicly":[134],"available":[135],"datasets":[136],"real":[138],"world":[139],"enterprise/sales":[140],"bases":[142],"have":[143],"shown":[144],"our":[146],"not":[149],"only":[150],"highly":[151],"scalable,":[152],"parallelizable":[153],"memory":[155],"efficient,":[156],"but":[157],"also":[158],"able":[159],"increase":[161],"accuracy":[164],"significantly":[165],"across":[166],"all":[167],"datasets.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}