{"id":"https://openalex.org/W4410394084","doi":"https://doi.org/10.1109/tnsm.2025.3570464","title":"GACL: Graph Attention Collaborative Learning for Temporal QoS Prediction","display_name":"GACL: Graph Attention Collaborative Learning for Temporal QoS Prediction","publication_year":2025,"publication_date":"2025-05-15","ids":{"openalex":"https://openalex.org/W4410394084","doi":"https://doi.org/10.1109/tnsm.2025.3570464"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2025.3570464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2025.3570464","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"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 Network and Service Management","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/A5000689165","display_name":"Shengxiang Hu","orcid":"https://orcid.org/0000-0002-1510-2478"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxiang Hu","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1510-2478","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025230449","display_name":"Guobing Zou","orcid":"https://orcid.org/0000-0002-7865-8158"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobing Zou","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7865-8158","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006352222","display_name":"Bofeng Zhang","orcid":"https://orcid.org/0000-0002-5001-1096"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bofeng Zhang","raw_affiliation_strings":["School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5001-1096","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051124542","display_name":"Shaogang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaogang Wu","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101855150","display_name":"Shiyi Lin","orcid":"https://orcid.org/0000-0001-8355-0259"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyi Lin","raw_affiliation_strings":["School of Computer Engineering and Science, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8355-0259","affiliations":[{"raw_affiliation_string":"School of Computer Engineering and Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076453110","display_name":"Yanglan Gan","orcid":"https://orcid.org/0000-0001-5931-9006"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanglan Gan","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5931-9006","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393445","display_name":"Yixin Chen","orcid":"https://orcid.org/0000-0002-3704-4432"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixin Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":"https://orcid.org/0000-0002-3704-4432","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1653,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95871128,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"22","issue":"4","first_page":"3388","last_page":"3402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9276999831199646,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9276999831199646,"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":0.8325296640396118},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4993298053741455},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4639572501182556},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38433724641799927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3725856840610504},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2473354935646057},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24479064345359802}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8325296640396118},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4993298053741455},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4639572501182556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38433724641799927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3725856840610504},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2473354935646057},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24479064345359802}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2025.3570464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2025.3570464","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"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 Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4969275022","display_name":null,"funder_award_id":"62272290","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7395182650","display_name":null,"funder_award_id":"62172088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G846785406","display_name":"\u57fa\u4e8e\u5f02\u6784\u7f51\u7edc\u7684\u80bf\u7624\u81f4\u75c5\u901a\u8def\u6316\u6398\u53ca\u5019\u9009\u836f\u7269\u7b5b\u9009\u7b97\u6cd5\u7814\u7a76","funder_award_id":"21ZR1400400","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"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":36,"referenced_works":["https://openalex.org/W1605574989","https://openalex.org/W1677182931","https://openalex.org/W1980321478","https://openalex.org/W2042281163","https://openalex.org/W2060017308","https://openalex.org/W2073178357","https://openalex.org/W2140597141","https://openalex.org/W2295633004","https://openalex.org/W2513185401","https://openalex.org/W2523379725","https://openalex.org/W2538013747","https://openalex.org/W2738639449","https://openalex.org/W2783395064","https://openalex.org/W2809226858","https://openalex.org/W2889596732","https://openalex.org/W2899935000","https://openalex.org/W2899973675","https://openalex.org/W2964015378","https://openalex.org/W2974696853","https://openalex.org/W3135458454","https://openalex.org/W3188916711","https://openalex.org/W3191190194","https://openalex.org/W3204880307","https://openalex.org/W4200161340","https://openalex.org/W4312818750","https://openalex.org/W4313037130","https://openalex.org/W4315783926","https://openalex.org/W4319990429","https://openalex.org/W4385245566","https://openalex.org/W4385269127","https://openalex.org/W4386108456","https://openalex.org/W4386902921","https://openalex.org/W4389459429","https://openalex.org/W4393315308","https://openalex.org/W4400228558","https://openalex.org/W6757817989"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,187],"of":[2,54,76,90,137,195],"temporal":[3,58,91,110,163,168,185],"QoS":[4,78,92,111,152,169,186],"is":[5,62,159],"crucial":[6],"for":[7,35,42,56,109,184],"maintaining":[8],"service":[9],"reliability":[10],"and":[11,28,139,150],"enhancing":[12,167],"user":[13],"satisfaction":[14],"in":[15,68],"dynamic":[16,116],"service-oriented":[17],"environments.":[18],"However,":[19],"current":[20],"methods":[21,183],"often":[22],"neglect":[23],"high-order":[24],"latent":[25,135],"collaborative":[26,148],"relationships":[27,149],"fail":[29],"to":[30,120,132,161,197],"dynamically":[31],"adjust":[32],"feature":[33,44,59,164],"learning":[34],"specific":[36],"user-service":[37,117],"invocations,":[38],"which":[39],"are":[40],"critical":[41],"precise":[43],"extraction":[45],"within":[46],"each":[47,142],"time":[48,82,143],"slice.":[49],"Moreover,":[50],"the":[51,74,88,96,174,193],"prevalent":[52],"use":[53],"RNNs":[55],"modeling":[57],"evolution":[60,165],"patterns":[61],"constrained":[63],"by":[64],"their":[65],"inherent":[66],"difficulty":[67],"managing":[69],"long-range":[70],"dependencies,":[71],"thereby":[72],"limiting":[73],"detection":[75],"long-term":[77],"trends":[79],"across":[80,188],"multiple":[81,189],"slices.":[83],"These":[84],"shortcomings":[85],"dramatically":[86],"degrade":[87],"performance":[89],"prediction.":[93,112,170],"To":[94],"address":[95],"two":[97],"issues,":[98],"we":[99],"propose":[100],"a":[101,115,127,155],"novel":[102],"Graph":[103],"Attention":[104],"Collaborative":[105],"Learning":[106],"(GACL)":[107],"framework":[108],"Building":[113],"on":[114,173],"invocation":[118],"graph":[119,129],"comprehensively":[121],"model":[122],"historical":[123,151],"interactions,":[124],"it":[125],"designs":[126],"target-prompt":[128],"attention":[130],"network":[131],"extract":[133],"deep":[134],"features":[136],"users":[138],"services":[140],"at":[141],"slice,":[144],"considering":[145],"implicit":[146],"target-neighboring":[147],"values.":[153],"Additionally,":[154],"multi-layer":[156],"Transformer":[157],"encoder":[158],"introduced":[160],"uncover":[162],"patterns,":[166],"Extensive":[171],"experiments":[172],"WS-DREAM":[175],"dataset":[176],"demonstrate":[177],"that":[178],"GACL":[179],"significantly":[180],"outperforms":[181],"state-of-the-art":[182],"evaluation":[190],"metrics,":[191],"achieving":[192],"improvements":[194],"up":[196],"38.80%.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
