{"id":"https://openalex.org/W4416251078","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228938","title":"BGEM: Bipartite Graph-based Extension Modeling in Graph Neural Network for QoS Prediction","display_name":"BGEM: Bipartite Graph-based Extension Modeling in Graph Neural Network for QoS Prediction","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251078","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228938"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028194980","display_name":"Yingwei Luo","orcid":"https://orcid.org/0000-0002-7903-0717"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingwei Luo","raw_affiliation_strings":["East China Normal University,Software Engineering Institute,Shanghai,China,200062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Software Engineering Institute,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006822029","display_name":"Yugen Du","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yugen Du","raw_affiliation_strings":["East China Normal University,Software Engineering Institute,Shanghai,China,200062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Software Engineering Institute,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092728801","display_name":"Shuo Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Shi","raw_affiliation_strings":["East China Normal University,Software Engineering Institute,Shanghai,China,200062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Software Engineering Institute,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101406809","display_name":"Xia Chen","orcid":"https://orcid.org/0000-0002-3854-7242"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Chen","raw_affiliation_strings":["East China Normal University,Software Engineering Institute,Shanghai,China,200062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Software Engineering Institute,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114275037","display_name":"Guoxing Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxing Tang","raw_affiliation_strings":["East China Normal University,Software Engineering Institute,Shanghai,China,200062"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Software Engineering Institute,Shanghai,China,200062","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":1.9246,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88637368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.5167999863624573,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.5167999863624573,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.21289999783039093,"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/T11478","display_name":"Caching and Content Delivery","score":0.05739999935030937,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/quality-of-service","display_name":"Quality of service","score":0.6672000288963318},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6574000120162964},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6419000029563904},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5436999797821045},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5318999886512756},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4934999942779541},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4357999861240387},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.3898000121116638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.742900013923645},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.6672000288963318},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6574000120162964},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6419000029563904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5591999888420105},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5436999797821045},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5318999886512756},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4934999942779541},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4357999861240387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4291999936103821},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41940000653266907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4101000130176544},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3898000121116638},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3228999972343445},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2957000136375427},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2897999882698059},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2060017308","https://openalex.org/W2075106684","https://openalex.org/W2091381870","https://openalex.org/W2109637792","https://openalex.org/W2146356176","https://openalex.org/W2323283582","https://openalex.org/W2599436010","https://openalex.org/W2907228840","https://openalex.org/W2910727501","https://openalex.org/W3011380968","https://openalex.org/W3028305817","https://openalex.org/W3115910809","https://openalex.org/W3132700449","https://openalex.org/W3162576365","https://openalex.org/W3201239432","https://openalex.org/W3204880307","https://openalex.org/W4294658800","https://openalex.org/W4313037130","https://openalex.org/W4385300758","https://openalex.org/W4386859088","https://openalex.org/W4386902921","https://openalex.org/W4390187284","https://openalex.org/W4403420570","https://openalex.org/W4406122878","https://openalex.org/W4406255348","https://openalex.org/W4407404411"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,7,43,49,83,90,95,107,118,129],"advancement":[2],"of":[3,9,13,51,97,131],"cloud":[4],"computing":[5],"and":[6,70,88,103,121],"proliferation":[8],"internet":[10],"services,":[11,104],"Quality":[12],"Service":[14],"(QoS)":[15],"has":[16],"emerged":[17],"as":[18],"a":[19,60,71,112],"critical":[20],"metric":[21],"for":[22,128],"service":[23],"caller,":[24],"necessitating":[25],"increasingly":[26],"accurate":[27],"predictive":[28],"capabilities.":[29],"While":[30],"existing":[31],"neural":[32],"network":[33],"methods":[34],"have":[35,40],"made":[36],"significant":[37],"progress,":[38],"they":[39],"often":[41],"overlooked":[42],"implicit":[44],"complex":[45],"interactions":[46,85],"manifest":[47],"in":[48,101,106,151],"distribution":[50,99],"QoS":[52,98,133,152],"values.":[53,134],"To":[54],"overcome":[55],"this":[56],"deficiency,":[57],"we":[58,81,110],"introduce":[59],"Bipartite":[61],"Graph-based":[62],"Extension":[63],"Modeling":[64],"(BGEM)":[65],"method":[66,146],"with":[67],"user-service":[68,87],"interaction":[69],"custom":[72],"GCN":[73],"module":[74,127],"named":[75],"Hidden":[76],"Relationship":[77],"Perception(HRP-GCN).":[78],"In":[79],"BGEM,":[80],"model":[82],"potential":[84],"between":[86],"leverage":[89],"Jensen-Shannon":[91],"divergence":[92],"to":[93,116],"quantify":[94],"similarity":[96],"patterns":[100],"users":[102],"resulting":[105],"BGE-Graph.":[108],"Subsequently,":[109],"employ":[111],"subgraph":[113],"sampling":[114],"algorithm":[115],"identify":[117],"optimal":[119],"subgraph,":[120],"then":[122],"fed":[123],"it":[124,159],"into":[125],"HRP-GCN":[126],"prediction":[130],"unknown":[132],"Extensive":[135],"experiments":[136],"conducted":[137],"on":[138],"real-world":[139],"datasets":[140],"demonstrate":[141],"that":[142],"our":[143],"proposed":[144],"BGEM":[145],"outperforms":[147],"current":[148],"state-of-the-art":[149],"approaches":[150],"prediction,":[153],"particularly":[154],"under":[155],"low-density":[156],"conditions,":[157],"where":[158],"still":[160],"maintains":[161],"superior":[162],"performance.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-14T00:00:00"}