{"id":"https://openalex.org/W4407957904","doi":"https://doi.org/10.1145/3709002","title":"Modeling N-ary Relational Knowledge Bases with Tensor Decomposition","display_name":"Modeling N-ary Relational Knowledge Bases with Tensor Decomposition","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4407957904","doi":"https://doi.org/10.1145/3709002"},"language":"en","primary_location":{"id":"doi:10.1145/3709002","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3709002","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3709002","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004545610","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-2399-2829"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2399-2829","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072484211","display_name":"Quanming Yao","orcid":"https://orcid.org/0000-0001-8944-8618"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanming Yao","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8944-8618","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5617-1659","affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology (BNRist), Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.2673,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91409506,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"16","issue":"3","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9957000017166138,"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":0.9957000017166138,"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":0.9944000244140625,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9771000146865845,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8875687122344971},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.7297220230102539},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.653850793838501},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5379546284675598},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5094783902168274},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43201005458831787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3720216155052185},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.363712877035141},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36218827962875366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.326540470123291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8875687122344971},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.7297220230102539},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.653850793838501},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5379546284675598},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5094783902168274},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43201005458831787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3720216155052185},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.363712877035141},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36218827962875366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.326540470123291},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3709002","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3709002","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3709002","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3709002","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G699585147","display_name":null,"funder_award_id":"U23B2030, 62272260, and 62171260","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":59,"referenced_works":["https://openalex.org/W68132019","https://openalex.org/W205829674","https://openalex.org/W1522301498","https://openalex.org/W1533230146","https://openalex.org/W1836465849","https://openalex.org/W1963826206","https://openalex.org/W2022166150","https://openalex.org/W2024165284","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2184957013","https://openalex.org/W2185907055","https://openalex.org/W2258054274","https://openalex.org/W2283196293","https://openalex.org/W2343431530","https://openalex.org/W2432356473","https://openalex.org/W2433281745","https://openalex.org/W2509893387","https://openalex.org/W2604314403","https://openalex.org/W2605089588","https://openalex.org/W2754811377","https://openalex.org/W2759136286","https://openalex.org/W2785761199","https://openalex.org/W2787882523","https://openalex.org/W2803992439","https://openalex.org/W2909137510","https://openalex.org/W2914592219","https://openalex.org/W2914812111","https://openalex.org/W2949434543","https://openalex.org/W2951048068","https://openalex.org/W2962766718","https://openalex.org/W2962897394","https://openalex.org/W2963450615","https://openalex.org/W2966234499","https://openalex.org/W2975968959","https://openalex.org/W2984902757","https://openalex.org/W2995448904","https://openalex.org/W3003265726","https://openalex.org/W3012846531","https://openalex.org/W3012851129","https://openalex.org/W3035021589","https://openalex.org/W3035101093","https://openalex.org/W3087784492","https://openalex.org/W3103296573","https://openalex.org/W3103833121","https://openalex.org/W3153661083","https://openalex.org/W3154273039","https://openalex.org/W3156178579","https://openalex.org/W3156306687","https://openalex.org/W4287662682","https://openalex.org/W4299547686","https://openalex.org/W4300579117","https://openalex.org/W6718112784","https://openalex.org/W6740216407","https://openalex.org/W6744035295","https://openalex.org/W6748780714","https://openalex.org/W6759213489","https://openalex.org/W6779713500","https://openalex.org/W7010210478"],"related_works":["https://openalex.org/W4379256054","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W47805180","https://openalex.org/W3216281372","https://openalex.org/W2963838862","https://openalex.org/W2608089480","https://openalex.org/W3015641590","https://openalex.org/W2987657992","https://openalex.org/W4297666106"],"abstract_inverted_index":{"The":[0,142],"binary":[1,13,44,63,97],"relational":[2,40,64,98,106,137],"knowledge":[3,7,11,28],"base":[4],"(KB,":[5],"a.k.a.":[6],"graph),":[8],"representing":[9],"real-world":[10],"with":[12,42,108,139],"relations":[14,47],"and":[15,45,58,71,117,123,191,199],"entities,":[16],"has":[17],"been":[18],"an":[19],"important":[20],"research":[21],"topic":[22],"in":[23,62,79],"artificial":[24],"intelligence,":[25],"while,":[26],"considerable":[27],"also":[29,148],"involves":[30],"beyond-binary":[31,46],"relations.":[32,141],"Recently,":[33],"the":[34,91,101,111,127,133,151,162,181,186,197,200],"area":[35],"proposes":[36],"to":[37,100,150,168],"model":[38],"n-ary":[39,102,105,136,152],"KBs":[41,99,107,138],"both":[43],"included.":[48],"However,":[49],"most":[50],"current":[51],"models":[52,61],"are":[53],"extended":[54,131],"from":[55,68,96],"translational":[56],"distance":[57],"neural":[59],"network":[60],"KBs,":[65],"which":[66],"suffer":[67],"weak":[69],"expressiveness":[70],"high":[72],"complexity,":[73],"respectively.":[74,203],"To":[75],"overcome":[76],"such":[77],"issues,":[78],"this":[80],"work,":[81],"we":[82,158],"propose":[83],"a":[84],"novel":[85],"two-step":[86],"modeling":[87],"framework,":[88],"GETD,":[89],"generalizing":[90],"powerful":[92],"tensor":[93],"decomposition":[94,116,120],"technique":[95,146],"case.":[103],"For":[104],"single-arity":[109,198],"relations,":[110],"GETD":[112,163],"framework":[113,128,164,183],"introduces":[114],"Tucker":[115],"Tensor":[118],"Ring":[119],"for":[121,132,154,196],"expressive":[122,167],"efficient":[124],"modeling.":[125],"Furthermore,":[126],"is":[129,147,165],"technically":[130],"representation":[134],"of":[135],"mixed-arity":[140,201],"existing":[143],"negative":[144],"sampling":[145],"generalized":[149],"case":[153],"GETD.":[155],"In":[156],"addition,":[157],"theoretically":[159],"prove":[160],"that":[161,180],"fully":[166],"completely":[169],"represent":[170],"any":[171],"KBs.":[172],"Empirical":[173],"results":[174],"on":[175,194],"two":[176],"representative":[177],"datasets":[178],"show":[179],"proposed":[182],"significantly":[184],"outperforms":[185],"state-of-the-art":[187],"methods,":[188],"achieving":[189],"11\u201326%":[190],"4\u20137%":[192],"improvements":[193],"Hits@10":[195],"cases,":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}