{"id":"https://openalex.org/W4391883834","doi":"https://doi.org/10.1145/3648366","title":"Intricate Spatiotemporal Dependency Learning for Temporal Knowledge Graph Reasoning","display_name":"Intricate Spatiotemporal Dependency Learning for Temporal Knowledge Graph Reasoning","publication_year":2024,"publication_date":"2024-02-16","ids":{"openalex":"https://openalex.org/W4391883834","doi":"https://doi.org/10.1145/3648366"},"language":"en","primary_location":{"id":"doi:10.1145/3648366","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3648366","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","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/A5100352630","display_name":"Xuefei Li","orcid":"https://orcid.org/0000-0001-8572-3272"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuefei Li","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047668953","display_name":"Huiwei Zhou","orcid":"https://orcid.org/0000-0002-7766-4177"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiwei Zhou","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100584714","display_name":"Weihong Yao","orcid":"https://orcid.org/0009-0002-3145-3494"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihong Yao","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083671637","display_name":"Wenchu Li","orcid":"https://orcid.org/0009-0006-3301-5147"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenchu Li","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103114531","display_name":"Bao-Jie Liu","orcid":"https://orcid.org/0000-0002-6344-1378"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojie Liu","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033474547","display_name":"Yingyu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingyu Lin","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100352630"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":4.2862,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94602158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"18","issue":"6","first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9969000220298767,"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":0.9898999929428101,"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":0.7491479516029358},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6357089281082153},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.627714991569519},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5741823315620422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5399854183197021},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.49173668026924133},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48002997040748596},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4485739469528198},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4128773510456085},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.404536634683609},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40061768889427185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7491479516029358},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6357089281082153},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.627714991569519},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5741823315620422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5399854183197021},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.49173668026924133},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48002997040748596},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4485739469528198},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4128773510456085},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.404536634683609},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40061768889427185},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3648366","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3648366","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1686953038","display_name":null,"funder_award_id":"61772109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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":39,"referenced_works":["https://openalex.org/W1760025803","https://openalex.org/W2147194983","https://openalex.org/W2171468534","https://openalex.org/W2246338463","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2604314403","https://openalex.org/W2798864014","https://openalex.org/W2889782235","https://openalex.org/W2890410208","https://openalex.org/W2912500072","https://openalex.org/W2950393809","https://openalex.org/W2964015378","https://openalex.org/W2978927732","https://openalex.org/W2998528434","https://openalex.org/W3015409108","https://openalex.org/W3021393704","https://openalex.org/W3034696014","https://openalex.org/W3097986917","https://openalex.org/W3125082963","https://openalex.org/W3134942372","https://openalex.org/W3149667390","https://openalex.org/W3156393901","https://openalex.org/W3174368915","https://openalex.org/W3182741322","https://openalex.org/W3190152617","https://openalex.org/W3196669501","https://openalex.org/W3208454183","https://openalex.org/W4225412853","https://openalex.org/W4281729838","https://openalex.org/W4283010747","https://openalex.org/W4285140697","https://openalex.org/W4292950683","https://openalex.org/W4293247363","https://openalex.org/W4320015761","https://openalex.org/W4321480047","https://openalex.org/W4387410185","https://openalex.org/W4398265979","https://openalex.org/W6945085042"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W1986883493","https://openalex.org/W2469862403","https://openalex.org/W2166378262","https://openalex.org/W2035891203","https://openalex.org/W4379524643","https://openalex.org/W2367807705","https://openalex.org/W4285233590","https://openalex.org/W4285218279"],"abstract_inverted_index":{"Knowledge":[0],"Graph":[1,62],"(KG)":[2],"reasoning":[3,191],"has":[4,182],"been":[5],"an":[6,72,81,96],"interesting":[7],"topic":[8],"in":[9,169],"recent":[10],"decades.":[11],"Most":[12],"current":[13,144],"researches":[14],"focus":[15],"on":[16,61,173],"predicting":[17,153],"the":[18,42,68,87,91,114,119,122,134,139,143,148,159,165,183,189],"missing":[19],"facts":[20,94],"for":[21,152,163,188],"incomplete":[22],"KG.":[23],"Nevertheless,":[24],"Temporal":[25],"KG":[26],"(TKG)":[27],"reasoning,":[28],"which":[29],"is":[30,110,130],"to":[31,41,66,85,112,132,146],"forecast":[32],"future":[33,154],"facts,":[34],"still":[35],"faces":[36],"with":[37],"a":[38,52,104,126],"dilemma":[39],"due":[40],"complex":[43],"interactions":[44],"between":[45],"entities":[46],"over":[47,185],"time.":[48],"This":[49],"article":[50],"proposes":[51],"novel":[53],"intricate":[54,166],"Spatiotemporal":[55,105],"Dependency":[56],"learning":[57],"Network":[58,64],"(STDN)":[59],"based":[60],"Convolutional":[63],"(GCN)":[65],"capture":[67,113],"underlying":[69],"correlations":[70],"of":[71,95,118],"entity":[73,149],"at":[74,142],"different":[75],"timestamps.":[76],"Specifically,":[77],"we":[78],"first":[79],"learn":[80],"adaptive":[82],"adjacency":[83],"matrix":[84],"depict":[86],"direct":[88],"dependencies":[89,117,168],"from":[90],"temporally":[92],"adjacent":[93],"entity,":[97,120],"obtaining":[98],"its":[99],"previous":[100,135],"context":[101,136],"embedding.":[102,124],"Then,":[103],"feature":[106],"Encoding":[107],"GCN":[108],"(STE-GCN)":[109],"proposed":[111],"latent":[115],"spatiotemporal":[116,123,140,167],"getting":[121],"Finally,":[125],"time":[127],"gate":[128],"unit":[129],"used":[131],"integrate":[133],"embedding":[137,141,151],"and":[138,176],"timestamp":[145],"update":[147],"evolutional":[150],"facts.":[155],"STDN":[156,181],"could":[157],"generate":[158],"more":[160],"expressive":[161],"embeddings":[162],"capturing":[164],"TKG.":[170],"Extensive":[171],"experiments":[172],"WIKI,":[174],"ICEWS14,":[175],"ICEWS18":[177],"datasets":[178],"prove":[179],"our":[180],"advantage":[184],"state-of-the-art":[186],"baselines":[187],"temporal":[190],"task.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}