{"id":"https://openalex.org/W4399993833","doi":"https://doi.org/10.1109/tase.2024.3416952","title":"Multi-Scenario Cellular KPI Prediction Based on Spatiotemporal Graph Neural Network","display_name":"Multi-Scenario Cellular KPI Prediction Based on Spatiotemporal Graph Neural Network","publication_year":2024,"publication_date":"2024-06-25","ids":{"openalex":"https://openalex.org/W4399993833","doi":"https://doi.org/10.1109/tase.2024.3416952"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2024.3416952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3416952","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5038171571","display_name":"Junpeng Lin","orcid":"https://orcid.org/0009-0000-5835-5769"},"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":"Junpeng Lin","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-5835-5769","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101771791","display_name":"Tian Lan","orcid":"https://orcid.org/0009-0005-8331-1190"},"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":"Tian Lan","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-8331-1190","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335189","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-6953-9651"},"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":"Bo Zhang","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016541952","display_name":"Lin Ke","orcid":"https://orcid.org/0000-0002-2607-5129"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lin","raw_affiliation_strings":["Shanghai Research Center, Huawei Technologies, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Research Center, Huawei Technologies, Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059658085","display_name":"Dandan Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Miao","raw_affiliation_strings":["Shanghai Research Center, Huawei Technologies, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Research Center, Huawei Technologies, Shanghai, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114123167","display_name":"Huiru He","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiru He","raw_affiliation_strings":["Songshan Lake Research Center, Huawei Technologies, Dongguan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Songshan Lake Research Center, Huawei Technologies, Dongguan, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088527799","display_name":"Jiantao Ye","orcid":"https://orcid.org/0000-0002-4317-7565"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiantao Ye","raw_affiliation_strings":["Songshan Lake Research Center, Huawei Technologies, Dongguan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Songshan Lake Research Center, Huawei Technologies, Dongguan, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374122","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0002-4767-9597"},"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":"Chen Zhang","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4767-9597","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031762854","display_name":"Yan\u2010Fu Li","orcid":"https://orcid.org/0000-0001-5755-7115"},"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":"Yan-Fu Li","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5755-7115","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0391,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86492188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"22","issue":null,"first_page":"5131","last_page":"5142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.7177000045776367,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.7177000045776367,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.582459032535553},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5722545385360718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4531455636024475},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44851967692375183},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.44103577733039856},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18828082084655762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18192297220230103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.582459032535553},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5722545385360718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4531455636024475},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44851967692375183},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.44103577733039856},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18828082084655762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18192297220230103},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2024.3416952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3416952","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G410914050","display_name":null,"funder_award_id":"72271138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7236899727","display_name":"\u5de5\u4e1a\u5927\u6570\u636e\u73af\u5883\u4e0b\u9762\u5411\u667a\u80fd\u5236\u9020\u7cfb\u7edf\u7684\u8d28\u91cf\u79d1\u5b66\u7ba1\u63a7\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71932006","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2157331557","https://openalex.org/W2239355706","https://openalex.org/W2756203131","https://openalex.org/W2762605243","https://openalex.org/W2799789854","https://openalex.org/W2807536558","https://openalex.org/W2890072063","https://openalex.org/W2963035276","https://openalex.org/W2965341826","https://openalex.org/W2997848713","https://openalex.org/W3004400185","https://openalex.org/W3005715206","https://openalex.org/W3034215963","https://openalex.org/W3080253043","https://openalex.org/W3082935815","https://openalex.org/W3115894062","https://openalex.org/W3124251522","https://openalex.org/W3152030785","https://openalex.org/W3158304688","https://openalex.org/W3177318507","https://openalex.org/W3215281442","https://openalex.org/W4226020628","https://openalex.org/W4233713109","https://openalex.org/W4246193833","https://openalex.org/W4309759722","https://openalex.org/W4317851149","https://openalex.org/W4385245566","https://openalex.org/W4387123756","https://openalex.org/W6697406824","https://openalex.org/W6726873649","https://openalex.org/W6731370813","https://openalex.org/W6738964360","https://openalex.org/W6746015598","https://openalex.org/W6749825310","https://openalex.org/W6762250955","https://openalex.org/W6764679822","https://openalex.org/W6771626834","https://openalex.org/W6780221082"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"With":[0],"the":[1,76,90,103,106,111,128,157,175,189,199,227,240,258,267,284],"increasing":[2],"demand":[3],"for":[4,13,27,46,195,270],"high-quality":[5],"telecommunication":[6,14],"services,":[7],"cellular":[8,28,91,99,137,206,253],"KPI":[9,29,100,117,207,254],"prediction":[10,118,151,208,243],"becomes":[11],"crucial":[12,125],"network":[15,38,92,116,122,133,138],"monitoring":[16],"and":[17,50,62,69,82,135,172,178,242,264],"management.":[18],"In":[19,41],"this":[20],"work,":[21],"we":[22,232],"propose":[23],"a":[24,97,146,205,234,251],"novel":[25],"framework":[26,209,260],"prediction,":[30],"which":[31],"considers":[32],"its":[33,83],"distribution":[34],"discrepancy":[35],"under":[36,119,165],"different":[37,166,218,222],"operation":[39],"scenarios.":[40],"particular,":[42],"three":[43,212,245],"specific":[44,196],"predictors":[45,214],"normal,":[47,169],"target":[48,170],"alarm,":[49,171,174],"neighbor":[51,173],"alarm":[52],"scenarios":[53,120],"are":[54,72,183],"proposed":[55,107,259],"based":[56],"on":[57,80,96,132,250],"spatiotemporal":[58,179],"graph":[59],"neural":[60],"networks":[61],"unified":[63],"through":[64],"transfer":[65,235],"learning.":[66],"Temporal":[67],"convolution":[68],"attention":[70],"mechanism":[71],"embedded":[73],"to":[74,89,110,114,126,145,220,238],"model":[75,200],"impact":[77,129],"of":[78,105,121,130,211,244],"anomalies":[79],"KPIs":[81,182,289],"propagation":[84],"across":[85,230],"neighboring":[86],"cells":[87],"according":[88],"topology.":[93],"An":[94],"experiment":[95,248],"real":[98,252],"dataset":[101,228,255],"shows":[102],"effectiveness":[104],"method":[108],"compared":[109],"state-of-the-arts.":[112],"Note":[113],"Practitioners\u2014Cellular":[115],"alarms":[123,131],"is":[124,143,163,188,261],"evaluate":[127],"services":[134],"guides":[136],"maintenance":[139,280],"policies.":[140],"This":[141,202],"problem":[142,152],"similar":[144,216],"general":[147],"multivariate":[148,271],"time":[149,272],"series":[150,273],"with":[153,215],"data":[154],"multimodality.":[155],"However,":[156],"first":[158],"challenge":[159,187],"in":[160],"our":[161],"case":[162],"that,":[164],"scenarios,":[167,197,231],"i.e.,":[168],"effective":[176,265],"information":[177],"dependencies":[180],"among":[181],"different.":[184],"The":[185,247],"second":[186],"imbalanced":[190],"or":[191],"sparse":[192],"sample":[193],"size":[194],"deteriorating":[198],"performance.":[201],"paper":[203],"proposes":[204],"consisting":[210],"scenario-specific":[213,223],"but":[217],"modules":[219],"process":[221],"data.":[224],"To":[225],"address":[226],"imbalance":[229],"adopt":[233],"learning":[236],"strategy":[237],"unify":[239],"training":[241],"predictors.":[246],"results":[249],"demonstrate":[256],"that":[257,283],"more":[262],"feasible":[263],"than":[266],"state-of-the-art":[268],"models":[269],"prediction.":[274],"Future":[275],"research":[276],"can":[277,290],"consider":[278],"developing":[279],"policies":[281],"such":[282],"cost":[285],"caused":[286],"by":[287],"abnormal":[288],"be":[291],"minimized.":[292]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
