{"id":"https://openalex.org/W4402314205","doi":"https://doi.org/10.3390/sym16091166","title":"Unleashing the Power of Decoders: Temporal Knowledge Graph Extrapolation with Householder Transformation","display_name":"Unleashing the Power of Decoders: Temporal Knowledge Graph Extrapolation with Householder Transformation","publication_year":2024,"publication_date":"2024-09-06","ids":{"openalex":"https://openalex.org/W4402314205","doi":"https://doi.org/10.3390/sym16091166"},"language":"en","primary_location":{"id":"doi:10.3390/sym16091166","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/sym16091166","pdf_url":"https://www.mdpi.com/2073-8994/16/9/1166/pdf","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/16/9/1166/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078654263","display_name":"Fuqiang Yang","orcid":"https://orcid.org/0000-0001-8746-3347"},"institutions":[{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuqiang Yang","raw_affiliation_strings":["School of Data and Computer Science, Shandong Women\u2019s University, Jinan 250300, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Shandong Women\u2019s University, Jinan 250300, China","institution_ids":["https://openalex.org/I4210151294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333738","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-6327-5023"},"institutions":[{"id":"https://openalex.org/I4210150411","display_name":"Shandong Youth University of Political Science","ror":"https://ror.org/04bwp4t29","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210150411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["School of Information Engineering, Shandong Youth University of Political Science, Jinan 250103, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Shandong Youth University of Political Science, Jinan 250103, China","institution_ids":["https://openalex.org/I4210150411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101490989","display_name":"Xuechen Zhao","orcid":"https://orcid.org/0000-0003-3466-0835"},"institutions":[{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuechen Zhao","raw_affiliation_strings":["School of Data and Computer Science, Shandong Women\u2019s University, Jinan 250300, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Shandong Women\u2019s University, Jinan 250300, China","institution_ids":["https://openalex.org/I4210151294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077480702","display_name":"Shengnan Pang","orcid":null},"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":"Shengnan Pang","raw_affiliation_strings":["School of Journalism and Communication, Tsinghua University, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"School of Journalism and Communication, Tsinghua University, Beijing 100190, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078654263"],"corresponding_institution_ids":["https://openalex.org/I4210151294"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12829863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"9","first_page":"1166","last_page":"1166"},"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/T10028","display_name":"Topic Modeling","score":0.9925000071525574,"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/T11719","display_name":"Data Quality and Management","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7758691310882568},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.7709821462631226},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6773408055305481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47964221239089966},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47938159108161926},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4604007303714752},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4533393681049347},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44891059398651123},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4444675147533417},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4212651252746582},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09311595559120178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7758691310882568},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.7709821462631226},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6773408055305481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47964221239089966},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47938159108161926},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4604007303714752},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4533393681049347},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44891059398651123},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4444675147533417},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4212651252746582},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09311595559120178},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym16091166","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/sym16091166","pdf_url":"https://www.mdpi.com/2073-8994/16/9/1166/pdf","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:96b684f701724d129b535b7e1f984193","is_oa":true,"landing_page_url":"https://doaj.org/article/96b684f701724d129b535b7e1f984193","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 16, Iss 9, p 1166 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/16/9/1166/","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym16091166","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym16091166","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/sym16091166","pdf_url":"https://www.mdpi.com/2073-8994/16/9/1166/pdf","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4402314205.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1533230146","https://openalex.org/W2022166150","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2127795553","https://openalex.org/W2184957013","https://openalex.org/W2283196293","https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2798864014","https://openalex.org/W2889782235","https://openalex.org/W2890410208","https://openalex.org/W2909137510","https://openalex.org/W2946476638","https://openalex.org/W2950393809","https://openalex.org/W2954554213","https://openalex.org/W2984902757","https://openalex.org/W2996371683","https://openalex.org/W3015730689","https://openalex.org/W3097986917","https://openalex.org/W3101611558","https://openalex.org/W3112653331","https://openalex.org/W3115318530","https://openalex.org/W3121980643","https://openalex.org/W3167316272","https://openalex.org/W3169228325","https://openalex.org/W3182741322","https://openalex.org/W3196669501","https://openalex.org/W3211666987","https://openalex.org/W4221143920","https://openalex.org/W4226350104","https://openalex.org/W4285224608","https://openalex.org/W4285600519","https://openalex.org/W4308335893","https://openalex.org/W4322764311","https://openalex.org/W4366091946","https://openalex.org/W4384659456","https://openalex.org/W4385573535","https://openalex.org/W4385768247","https://openalex.org/W4387615796","https://openalex.org/W4394913366","https://openalex.org/W4399453834","https://openalex.org/W4400409615"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W4296478327","https://openalex.org/W1960072520","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W2220129715","https://openalex.org/W2387596242","https://openalex.org/W2333625343","https://openalex.org/W2074627651"],"abstract_inverted_index":{"In":[0],"the":[1,32,47,62,74,107,112,123,127,139,143,155,166,180,200,204,213],"realm":[2],"of":[3,26,35,49,64,77,96,114,142,158,212],"artificial":[4],"intelligence,":[5],"knowledge":[6,51,65,169],"graphs":[7,52],"(KGs)":[8],"serve":[9],"as":[10],"an":[11,189],"essential":[12,150],"structured":[13],"framework,":[14],"capturing":[15,135],"intricate":[16],"relationships":[17],"between":[18],"diverse":[19],"entities":[20],"and":[21,87,117,136,154],"supporting":[22],"a":[23,56,94,174,209],"broad":[24],"spectrum":[25],"AI":[27],"applications.":[28],"Despite":[29],"their":[30],"utility,":[31],"static":[33],"characteristic":[34],"KGs":[36],"poses":[37],"challenges":[38],"in":[39,72,134,229],"dynamically":[40,198],"evolving":[41],"information":[42],"landscapes.":[43],"This":[44,69,206],"has":[45],"catalyzed":[46],"development":[48],"temporal":[50,57,159,168,201,215],"(TKGs),":[53],"which":[54,80,145,196],"introduce":[55],"layer":[58],"to":[59,101,131,183],"KGs,":[60],"facilitating":[61],"representation":[63,115],"progression":[66],"through":[67],"time.":[68],"study":[70],"zeroes":[71],"on":[73,106],"critical":[75],"task":[76],"TKG":[78,102,184,223,230],"extrapolation,":[79],"is":[81,146,149],"vital":[82],"for":[83,151],"forecasting":[84],"future":[85],"occurrences":[86],"offering":[88],"foresight":[89],"into":[90],"emerging":[91],"situations":[92],"across":[93,220],"variety":[95],"fields.":[97],"Most":[98],"contemporary":[99],"approaches":[100],"extrapolation":[103,171,231],"are":[104,119],"predicated":[105],"symmetrical":[108],"encoder\u2013decoder":[109,176],"paradigm,":[110],"wherein":[111],"processes":[113],"learning":[116],"reasoning":[118],"harmoniously":[120],"intertwined.":[121],"While":[122],"encoder":[124],"often":[125,147],"garners":[126],"most":[128],"attention":[129],"due":[130],"its":[132],"role":[133,141],"encoding":[137,202],"information,":[138],"pivotal":[140],"decoder,":[144],"overlooked,":[148],"direct":[152],"inference":[153],"accurate":[156],"projection":[157],"dynamics.":[160],"To":[161],"this":[162],"end,":[163],"we":[164],"present":[165],"Householder-transformation-based":[167],"graph":[170],"(HTKGE)":[172],"method:":[173],"groundbreaking":[175],"framework":[177],"that":[178],"reimagines":[179],"decoder\u2019s":[181],"contribution":[182],"extrapolation.":[185],"Our":[186,217],"approach":[187],"spotlights":[188],"adaptive":[190],"decoder":[191],"propelled":[192],"by":[193],"Householder":[194],"transformations,":[195],"engage":[197],"with":[199],"from":[203],"encoder.":[205],"interaction":[207],"fosters":[208],"nuanced":[210],"comprehension":[211],"TKG\u2019s":[214],"trajectory.":[216],"empirical":[218],"evaluations":[219],"four":[221],"benchmark":[222],"datasets":[224],"substantiate":[225],"HTKGE\u2019s":[226],"consistent":[227],"efficacy":[228],"tasks.":[232]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}