{"id":"https://openalex.org/W4224255523","doi":"https://doi.org/10.1109/tnnls.2022.3165554","title":"A Spatial\u2013Temporal Graph Model for Pronunciation Feature Prediction of Chinese Poetry","display_name":"A Spatial\u2013Temporal Graph Model for Pronunciation Feature Prediction of Chinese Poetry","publication_year":2022,"publication_date":"2022-04-21","ids":{"openalex":"https://openalex.org/W4224255523","doi":"https://doi.org/10.1109/tnnls.2022.3165554","pmid":"https://pubmed.ncbi.nlm.nih.gov/35446770"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3165554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3165554","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5057973620","display_name":"Qing Wang","orcid":"https://orcid.org/0000-0002-3396-4805"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Wang","raw_affiliation_strings":["Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355626","display_name":"Weiping Liu","orcid":"https://orcid.org/0000-0003-2134-3400"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Liu","raw_affiliation_strings":["Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiumei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiumei Wang","raw_affiliation_strings":["Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039680380","display_name":"Xinghong Chen","orcid":"https://orcid.org/0000-0002-6326-3495"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghong Chen","raw_affiliation_strings":["Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015729094","display_name":"Guannan Chen","orcid":"https://orcid.org/0000-0001-9296-578X"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guannan Chen","raw_affiliation_strings":["Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002112471","display_name":"Qingxiang Wu","orcid":"https://orcid.org/0000-0003-4262-8210"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxiang Wu","raw_affiliation_strings":["Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education and the Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057973620"],"corresponding_institution_ids":["https://openalex.org/I111753288"],"apc_list":null,"apc_paid":null,"fwci":2.0821,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.886274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"34","issue":"12","first_page":"10294","last_page":"10308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9948999881744385,"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/T10028","display_name":"Topic Modeling","score":0.9948999881744385,"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/T11309","display_name":"Music and Audio Processing","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9887999892234802,"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/computer-science","display_name":"Computer science","score":0.7954974174499512},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.6797287464141846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5529581904411316},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5450102090835571},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4918992519378662},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.4391661584377289},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4332268238067627},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.43265438079833984},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4302142262458801},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37024831771850586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34094494581222534},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2693029046058655},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14300596714019775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954974174499512},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.6797287464141846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5529581904411316},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5450102090835571},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4918992519378662},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.4391661584377289},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4332268238067627},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.43265438079833984},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4302142262458801},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37024831771850586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34094494581222534},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2693029046058655},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14300596714019775},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011037","descriptor_name":"Poetry as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011037","descriptor_name":"Poetry as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011037","descriptor_name":"Poetry as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011037","descriptor_name":"Poetry as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2022.3165554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3165554","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35446770","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35446770","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:eprints.whiterose.ac.uk:236512","is_oa":false,"landing_page_url":"https://orcid.org/0000-0002-3396-4805>,","pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3632940870","display_name":null,"funder_award_id":"2019-WJ-03","funder_id":"https://openalex.org/F4320336588","funder_display_name":"Fujian Provincial Health Technology Project"},{"id":"https://openalex.org/G6426515178","display_name":null,"funder_award_id":"2019J01272","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320336588","display_name":"Fujian Provincial Health Technology Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W2006065004","https://openalex.org/W2060491759","https://openalex.org/W2096819401","https://openalex.org/W2103869314","https://openalex.org/W2122788120","https://openalex.org/W2124388456","https://openalex.org/W2131700150","https://openalex.org/W2142117481","https://openalex.org/W2149360751","https://openalex.org/W2496367761","https://openalex.org/W2547221779","https://openalex.org/W2563063012","https://openalex.org/W2773307102","https://openalex.org/W2773389940","https://openalex.org/W2791194998","https://openalex.org/W2797790703","https://openalex.org/W2803229097","https://openalex.org/W2885647718","https://openalex.org/W2895693287","https://openalex.org/W2904673831","https://openalex.org/W2905402910","https://openalex.org/W2907492528","https://openalex.org/W2937297115","https://openalex.org/W2944426940","https://openalex.org/W2963224980","https://openalex.org/W2965322655","https://openalex.org/W2969904997","https://openalex.org/W2974156130","https://openalex.org/W2981991061","https://openalex.org/W2983519761","https://openalex.org/W2998843375","https://openalex.org/W3004319625","https://openalex.org/W3011824510","https://openalex.org/W3014528057","https://openalex.org/W3015621018","https://openalex.org/W3017535695","https://openalex.org/W3027458137","https://openalex.org/W3033761581","https://openalex.org/W3036619032","https://openalex.org/W3090650143","https://openalex.org/W3094892544","https://openalex.org/W3095256214","https://openalex.org/W3103003256","https://openalex.org/W3109196171","https://openalex.org/W3119272026","https://openalex.org/W3148096012","https://openalex.org/W3156821575","https://openalex.org/W3189199324","https://openalex.org/W6769238691"],"related_works":["https://openalex.org/W2183593636","https://openalex.org/W2350724007","https://openalex.org/W2355751417","https://openalex.org/W2423284978","https://openalex.org/W2083922162","https://openalex.org/W2000075989","https://openalex.org/W3006486861","https://openalex.org/W4220683390","https://openalex.org/W2776838583","https://openalex.org/W2359469050"],"abstract_inverted_index":{"With":[0],"the":[1,14,52,55,64,67,75,105,148,189,209,217,220,227,245,268,272],"development":[2],"of":[3,13,37,54,58,69,110,191,195,250,257,271],"artificial":[4],"intelligence,":[5],"speech":[6,101],"recognition":[7],"and":[8,28,48,73,107,134,150,247],"prediction":[9,53,166,194],"have":[10],"become":[11],"one":[12],"important":[15,100],"research":[16],"domains":[17],"with":[18],"wild":[19],"applications,":[20],"such":[21,40,137],"as":[22,41,138,224],"intelligent":[23,81],"control,":[24],"education,":[25],"individual":[26],"identification,":[27],"emotion":[29],"analysis.":[30],"Chinese":[31,60,196],"poetry":[32,61,113],"reading":[33,62],"contains":[34],"rich":[35],"features":[36,249],"continuous":[38],"pronunciations,":[39],"mood,":[42],"emotion,":[43],"rhythm":[44],"schemes,":[45],"lyric":[46],"reading,":[47,114],"artistic":[49],"expression.":[50],"Therefore,":[51],"pronunciation":[56,123,192],"characteristics":[57,152],"a":[59,79,118,178,212,229],"is":[63,95,117,200,241],"significance":[65],"for":[66,83,142,167,188],"presentation":[68],"high-level":[70,80],"machine":[71],"intelligence":[72],"has":[74],"potential":[76],"to":[77,86,98,104,129,162,172,243],"create":[78],"system":[82],"teaching":[84],"children":[85],"read":[87],"Tang":[88],"poetry.":[89,197],"Mel":[90],"frequency":[91],"cepstral":[92],"coefficient":[93],"(MFCC)":[94],"currently":[96],"used":[97],"present":[99],"features.":[102],"Due":[103],"complexity":[106],"high":[108],"degree":[109],"nonlinearity":[111],"in":[112,153,264],"however,":[115],"there":[116],"tough":[119],"challenge":[120],"facing":[121],"accurate":[122],"feature":[124,193],"prediction,":[125],"that":[126],"is,":[127],"how":[128],"model":[130,182,260],"complex":[131],"spatial":[132,149,246],"correlations":[133],"time":[135],"dynamics,":[136],"rhyme":[139],"schemes.":[140],"As":[141],"many":[143],"current":[144],"methods,":[145],"they":[146],"ignore":[147],"temporal":[151,248],"MFCC":[154,251],"presentation.":[155],"In":[156,170,226],"addition,":[157],"these":[158,174],"methods":[159,263],"are":[160],"subjected":[161],"certain":[163],"limitations":[164],"on":[165,185,238],"long-term":[168],"performance.":[169],"order":[171],"solve":[173],"problems,":[175],"we":[176],"propose":[177],"novel":[179,230],"spatial-temporal":[180],"graph":[181],"(STGM-MHA)":[183],"based":[184,237],"multihead":[186,239],"attention":[187,240],"purpose":[190],"The":[198,206,254],"STGM-MHA":[199],"designed":[201],"using":[202],"an":[203],"encoder-decoder":[204],"structure.":[205],"encoder":[207],"compresses":[208],"data":[210,252],"into":[211],"hidden":[213,221],"space":[214,222],"representation,":[215],"while":[216],"decoder":[218],"reconstructs":[219],"representation":[223],"output.":[225],"model,":[228],"gated":[231],"recurrent":[232],"unit":[233],"(GRU)":[234],"module":[235],"(AGRU)":[236],"proposed":[242,259,273],"extract":[244],"effectively.":[253],"evaluation":[255],"comparison":[256],"our":[258],"versus":[261],"state-of-the-art":[262],"six":[265],"datasets":[266],"reveals":[267],"clear":[269],"advantage":[270],"model.":[274]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
