{"id":"https://openalex.org/W4402351882","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651350","title":"Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation","display_name":"Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351882","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651350"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5101285353","display_name":"Jiaheng Yu","orcid":"https://orcid.org/0009-0008-5637-0648"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaheng Yu","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337001","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-8181-0886"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101922698","display_name":"Yue He","orcid":"https://orcid.org/0000-0001-5994-4928"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue He","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111154159","display_name":"Kai Zhu","orcid":"https://orcid.org/0009-0006-6621-5778"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhu","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602366","display_name":"Shuyi Zhang","orcid":"https://orcid.org/0000-0002-1501-7847"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyi Zhang","raw_affiliation_strings":["Wuhan University,School of Computer Science,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science,Wuhan,China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112110525","display_name":"Wen Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121573","display_name":"Wuchang University of Technology","ror":"https://ror.org/02mqsna37","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121573"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Hu","raw_affiliation_strings":["Wuchang University of Technology,School of Artificial Intelligence,Wuhan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuchang University of Technology,School of Artificial Intelligence,Wuhan,China","institution_ids":["https://openalex.org/I4210121573"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6895,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77158563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9958000183105469,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7540502548217773},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5125908255577087},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.45705318450927734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4403609037399292},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40323498845100403},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3546866774559021},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2517129182815552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7540502548217773},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5125908255577087},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.45705318450927734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4403609037399292},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40323498845100403},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3546866774559021},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2517129182815552}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1999047234","https://openalex.org/W2042281163","https://openalex.org/W2137245235","https://openalex.org/W2155106456","https://openalex.org/W2194775991","https://openalex.org/W2340502990","https://openalex.org/W2605246672","https://openalex.org/W2896367309","https://openalex.org/W2945827670","https://openalex.org/W2951217911","https://openalex.org/W2951570486","https://openalex.org/W2971600245","https://openalex.org/W3044638916","https://openalex.org/W3045200674","https://openalex.org/W3065542300","https://openalex.org/W3091993229","https://openalex.org/W3094605801","https://openalex.org/W3099939189","https://openalex.org/W3100260481","https://openalex.org/W3100278010","https://openalex.org/W3133849783","https://openalex.org/W3153325943","https://openalex.org/W3171249018","https://openalex.org/W3208338073","https://openalex.org/W4224983022","https://openalex.org/W4284666445","https://openalex.org/W4289433255","https://openalex.org/W4297808394","https://openalex.org/W4379382506","https://openalex.org/W4392384371","https://openalex.org/W6680451568"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Recent":[0],"methods":[1],"utilize":[2,215],"graph":[3,50,95,112],"contrastive":[4,101,219],"Learning":[5,78],"within":[6],"graph-structured":[7],"user-item":[8,86],"interaction":[9,51],"data":[10],"for":[11,70,90,123,189],"collaborative":[12],"filtering":[13],"and":[14,35,93,135,146,149,171],"have":[15,199],"demonstrated":[16],"their":[17],"efficacy":[18],"in":[19,116,205],"recommendation":[20,71,209],"tasks.":[21],"However,":[22],"they":[23],"ignore":[24],"that":[25,80],"the":[26,33,38,82,107,144,158,167,183,201],"difference":[27],"relation":[28,88,162],"density":[29,89],"of":[30,40,110,160,169,203],"nodes":[31,44],"between":[32,186],"user-":[34,145],"item-side":[36,147],"causes":[37],"adaptability":[39],"graphs":[41],"on":[42,85,157,195],"bilateral":[43,83,99,217],"to":[45,57,165,181,207,221],"be":[46],"different":[47,130],"after":[48,174],"multi-hop":[49],"calculation,":[52],"which":[53],"limits":[54],"existing":[55],"models":[56,212],"achieve":[58],"ideal":[59],"results.":[60],"To":[61],"solve":[62],"this":[63],"issue,":[64],"we":[65],"propose":[66],"a":[67,176],"novel":[68],"framework":[69],"tasks":[72],"called":[73],"Bilateral":[74],"Unsymmetrical":[75],"Graph":[76],"Contrastive":[77],"(BusGCL)":[79],"consider":[81],"unsymmetry":[84],"node":[87],"sliced":[91,139],"user":[92,124,170],"item":[94,172],"reasoning":[96],"better":[97],"with":[98],"slicing":[100,218],"training.":[102],"Especially,":[103],"taking":[104],"into":[105,140,152],"account":[106],"aggregation":[108],"ability":[109],"hypergraph-based":[111,132],"convolutional":[113],"network":[114],"(GCN)":[115],"digging":[117],"implicit":[118],"similarities":[119],"is":[120,179],"more":[121],"suitable":[122],"nodes,":[125],"embeddings":[126,173,188],"generated":[127],"from":[128],"three":[129],"modules:":[131],"GCN,":[133,137],"GCN":[134],"perturbed":[136],"are":[138],"two":[141,196],"subviews":[142],"by":[143],"respectively,":[148],"selectively":[150],"combined":[151],"subview":[153],"pairs":[154],"bilaterally":[155],"based":[156],"characteristics":[159],"inter-node":[161],"structure.":[163],"Furthermore,":[164],"align":[166],"distribution":[168],"aggregation,":[175],"dispersing":[177],"loss":[178],"leveraged":[180],"adjust":[182],"mutual":[184],"distance":[185],"all":[187],"maintaining":[190],"learning":[191,220],"ability.":[192],"Comprehensive":[193],"experiments":[194],"public":[197],"datasets":[198],"proved":[200],"superiority":[202],"BusGCL":[204],"comparison":[206],"various":[208],"methods.":[210],"Other":[211],"can":[213],"simply":[214],"our":[216],"enhance":[222],"recommending":[223],"performance":[224],"without":[225],"incurring":[226],"extra":[227],"expenses.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}