{"id":"https://openalex.org/W4396941426","doi":"https://doi.org/10.1109/tetci.2024.3398024","title":"Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence","display_name":"Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4396941426","doi":"https://doi.org/10.1109/tetci.2024.3398024"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3398024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3398024","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5051614997","display_name":"Thanveer Shaik","orcid":"https://orcid.org/0000-0002-9730-665X"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Thanveer Shaik","raw_affiliation_strings":["School of Mathematics, Physics & Computing, University of Southern Queensland, Toowoomba, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9730-665X","affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics & Computing, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065941595","display_name":"Xiaohui Tao","orcid":"https://orcid.org/0000-0002-0020-077X"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaohui Tao","raw_affiliation_strings":["School of Mathematics, Physics & Computing, University of Southern Queensland, Toowoomba, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0020-077X","affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics & Computing, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013151488","display_name":"Haoran Xie","orcid":"https://orcid.org/0000-0003-0965-3617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoran Xie","raw_affiliation_strings":["Department of Computing and Decision Sciences, Lingnan University, Tuen Mun, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-0965-3617","affiliations":[{"raw_affiliation_string":"Department of Computing and Decision Sciences, Lingnan University, Tuen Mun, Hong Kong","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412815","display_name":"Lin Li","orcid":"https://orcid.org/0000-0001-7553-6916"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7553-6916","affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012159374","display_name":"Jianming Yong","orcid":"https://orcid.org/0000-0003-4111-1076"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianming Yong","raw_affiliation_strings":["School of Business, University of Southern Queensland, Toowoomba, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4111-1076","affiliations":[{"raw_affiliation_string":"School of Business, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100627256","display_name":"Yuefeng Li","orcid":"https://orcid.org/0000-0002-3594-8980"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuefeng Li","raw_affiliation_strings":["School of Computer Science, Queensland University of Technology, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3594-8980","affiliations":[{"raw_affiliation_string":"School of Computer Science, Queensland University of Technology, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9632,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9639849,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"8","issue":"4","first_page":"2908","last_page":"2918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9835000038146973,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9835000038146973,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9387999773025513,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6657971143722534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5904305577278137},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5316268801689148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5227399468421936},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5115888714790344},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4700402617454529},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4622516334056854},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19125968217849731},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.05411553382873535}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6657971143722534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5904305577278137},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5316268801689148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5227399468421936},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5115888714790344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4700402617454529},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4622516334056854},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19125968217849731},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.05411553382873535},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3398024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3398024","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2587304220","https://openalex.org/W2754464353","https://openalex.org/W2756203131","https://openalex.org/W2792764867","https://openalex.org/W2888461849","https://openalex.org/W2894771803","https://openalex.org/W2916932086","https://openalex.org/W2963358464","https://openalex.org/W2964199361","https://openalex.org/W3000406655","https://openalex.org/W3006432778","https://openalex.org/W3012166292","https://openalex.org/W3040266569","https://openalex.org/W3088611441","https://openalex.org/W3098219276","https://openalex.org/W3103720336","https://openalex.org/W3157923155","https://openalex.org/W3180795105","https://openalex.org/W3209373652","https://openalex.org/W3209943843","https://openalex.org/W4200134527","https://openalex.org/W4210547122","https://openalex.org/W4221154893","https://openalex.org/W4280561569","https://openalex.org/W4283801824","https://openalex.org/W4283818951","https://openalex.org/W4285607140","https://openalex.org/W4285818475","https://openalex.org/W4288421346","https://openalex.org/W4297087995","https://openalex.org/W4302363068","https://openalex.org/W4310743131","https://openalex.org/W4311002436","https://openalex.org/W4312397225","https://openalex.org/W4377141401","https://openalex.org/W4381432328","https://openalex.org/W4386529406","https://openalex.org/W4388191662","https://openalex.org/W4393405332","https://openalex.org/W6746015598","https://openalex.org/W6749647306","https://openalex.org/W6749825310","https://openalex.org/W6847675835"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Reinforcement":[0,90],"learning":[1,14,19,34,177],"(RL)":[2],"is":[3],"renowned":[4],"for":[5,82,92,166],"its":[6],"proficiency":[7],"in":[8,27,54,70,119,125,152,198],"modeling":[9],"sequential":[10],"tasks":[11],"and":[12,25,29,44,47,128,155,169,185,201],"adaptively":[13],"latent":[15],"data":[16,72,85,102],"patterns.":[17],"Deep":[18],"models":[20,151],"have":[21],"been":[22],"extensively":[23],"explored":[24],"adopted":[26],"regression":[28],"classification":[30],"tasks.":[31],"However,":[32],"deep":[33,176],"has":[35],"limitations,":[36],"such":[37,179],"as":[38,123,180],"the":[39,48,67,97,101,104,194],"assumption":[40],"of":[41,100,196],"equally":[42],"spaced":[43],"ordered":[45],"data,":[46],"inability":[49],"to":[50,108,174],"incorporate":[51],"graph":[52,98],"structure":[53,99],"time-series":[55,71,84,153,167],"prediction.":[56],"Graph":[57],"Neural":[58,182],"Network":[59],"(GNN)":[60],"can":[61],"overcome":[62],"these":[63],"challenges":[64],"by":[65],"capturing":[66],"temporal":[68,111,121],"dependencies":[69],"effectively.":[73],"In":[74],"this":[75,191],"study,":[76],"we":[77],"propose":[78],"a":[79,142,162],"novel":[80,163],"approach":[81,114],"predicting":[83],"using":[86],"GNN,":[87],"augmented":[88],"with":[89,141],"Learning(GraphRL)":[91],"monitoring.":[93,156],"GNNs":[94],"explicitly":[95],"integrate":[96],"into":[103],"model,":[105],"enabling":[106],"them":[107],"naturally":[109],"capture":[110],"dependencies.":[112],"This":[113,157],"facilitates":[115],"more":[116],"accurate":[117,200],"predictions":[118,203],"complex":[120],"structures,":[122],"encountered":[124],"healthcare,":[126],"traffic,":[127],"weather":[129],"forecasting":[130,154],"domains.":[131],"We":[132],"further":[133],"enhance":[134],"our":[135],"GraphRL":[136,164,197],"model's":[137],"performance":[138],"through":[139],"fine-tuning":[140],"Bayesian":[143],"optimization":[144],"technique.":[145],"The":[146],"proposed":[147],"framework":[148,165],"surpasses":[149],"baseline":[150],"study's":[158],"contributions":[159],"include":[160],"introducing":[161],"prediction":[168],"demonstrating":[170],"GNNs'":[171],"efficacy":[172],"compared":[173],"traditional":[175],"models,":[178],"Recurrent":[181],"Networks":[183],"(RNN)":[184],"Long":[186],"Short-Term":[187],"Memory":[188],"Networks(LSTM).":[189],"Overall,":[190],"study":[192],"underscores":[193],"potential":[195],"yielding":[199],"efficient":[202],"within":[204],"dynamic":[205],"RL":[206],"environments.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}