{"id":"https://openalex.org/W4402353540","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651448","title":"Collaborative Graph Neural Networks with Contrastive Learning for Sequential Recommendation","display_name":"Collaborative Graph Neural Networks with Contrastive Learning for Sequential Recommendation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402353540","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651448"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651448","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":"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/A5035197459","display_name":"Bo Tao","orcid":"https://orcid.org/0000-0002-5886-1992"},"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":"Bo Tao","raw_affiliation_strings":["East China Normal University,School of Data Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Data Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356337","display_name":"Huimin Chen","orcid":"https://orcid.org/0000-0002-4244-107X"},"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":"Huimin Chen","raw_affiliation_strings":["East China Normal University,School of Data Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Data Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101787692","display_name":"Huazheng Pan","orcid":"https://orcid.org/0009-0003-8538-3898"},"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":"Huazheng Pan","raw_affiliation_strings":["East China Normal University,School of Data Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Data Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065488679","display_name":"Yanhao Wang","orcid":"https://orcid.org/0000-0002-7661-3917"},"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":"Yanhao Wang","raw_affiliation_strings":["East China Normal University,School of Data Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Data Science and Engineering,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004290600","display_name":"Zhiyun Chen","orcid":"https://orcid.org/0000-0003-2952-1195"},"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":"Zhiyun Chen","raw_affiliation_strings":["East China Normal University,School of Data Science and Engineering,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Data Science and Engineering,Shanghai,China","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":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9970999956130981,"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":0.9848999977111816,"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":0.7661949396133423},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4768839180469513},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47073423862457275},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4311612546443939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42007794976234436},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34541162848472595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29545122385025024},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2671218812465668}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7661949396133423},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4768839180469513},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47073423862457275},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4311612546443939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42007794976234436},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34541162848472595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29545122385025024},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2671218812465668}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651448","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/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2027731328","https://openalex.org/W2042281163","https://openalex.org/W2049455633","https://openalex.org/W2054141820","https://openalex.org/W2171279286","https://openalex.org/W2474909202","https://openalex.org/W2605350416","https://openalex.org/W2626454364","https://openalex.org/W2783272285","https://openalex.org/W2899457523","https://openalex.org/W2900841426","https://openalex.org/W2913560138","https://openalex.org/W2951645301","https://openalex.org/W2963367478","https://openalex.org/W2996931760","https://openalex.org/W3021189637","https://openalex.org/W3033039844","https://openalex.org/W3034329572","https://openalex.org/W3035666843","https://openalex.org/W3045200674","https://openalex.org/W3093922720","https://openalex.org/W3101707147","https://openalex.org/W3102619277","https://openalex.org/W3106439716","https://openalex.org/W3114680657","https://openalex.org/W3129482887","https://openalex.org/W3133849783","https://openalex.org/W3155919942","https://openalex.org/W3178835722","https://openalex.org/W3190794503","https://openalex.org/W3192638343","https://openalex.org/W4220894025","https://openalex.org/W4285604184","https://openalex.org/W4286986033","https://openalex.org/W4381587775","https://openalex.org/W6680830989","https://openalex.org/W6779940601"],"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":{"Sequential":[0],"recommendations":[1],"aim":[2],"to":[3,8,114],"exploit":[4],"user":[5,27,43,59,107,120,149],"purchase":[6],"records":[7],"predict":[9],"the":[10,17,38,77,137,158],"next":[11],"items":[12],"they":[13],"will":[14],"buy.":[15],"Although":[16],"problem":[18],"has":[19],"been":[20],"extensively":[21],"investigated,":[22],"most":[23],"existing":[24],"methods":[25,180],"model":[26],"interests":[28,67],"based":[29],"only":[30],"on":[31,166],"their":[32,55,66],"own":[33],"historical":[34],"sequences":[35],"but":[36],"ignore":[37],"collaboration":[39],"with":[40,90],"others.":[41],"Additionally,":[42],"behaviors":[44,70],"are":[45,123,188],"often":[46],"implicit":[47],"and":[48,111,150,186],"contain":[49],"noise":[50],"that":[51,105,147,171],"cannot":[52],"fully":[53],"reflect":[54],"preferences.":[56],"Furthermore,":[57],"since":[58],"preferences":[60],"can":[61],"evolve":[62],"over":[63],"time,":[64],"capturing":[65],"from":[68,118],"past":[69],"becomes":[71],"even":[72],"more":[73],"difficult.":[74],"To":[75,134],"address":[76],"above":[78],"issues,":[79],"we":[80,141],"propose":[81],"a":[82,103,126,143],"novel":[83],"method":[84,104,177],"called":[85],"Collaborative":[86],"Graph":[87],"Neural":[88],"Networks":[89],"Contrastive":[91],"learning":[92,145],"(C<sup":[93],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[94,175],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>GNN)":[95],"for":[96,131,181],"sequential":[97,182],"recommendations.":[98,183],"Specifically,":[99],"our":[100,172],"approach":[101],"leverages":[102],"incorporates":[106],"activity,":[108],"item":[109,151],"popularity,":[110],"interaction":[112],"time":[113],"construct":[115],"dynamic":[116],"subgraphs":[117],"multiple":[119],"sequences,":[121],"which":[122],"fed":[124],"into":[125],"graph":[127],"neural":[128],"network":[129],"(GNN)":[130],"feature":[132],"aggregation.":[133],"further":[135],"enhance":[136],"model\u2019s":[138],"discriminative":[139],"ability,":[140],"introduce":[142],"contrastive":[144],"framework":[146],"learns":[148],"representations":[152],"by":[153],"comparing":[154],"different":[155,162],"views":[156],"of":[157],"GNN":[159],"output":[160],"at":[161,190],"layers.":[163],"Extensive":[164],"experiments":[165],"three":[167],"real-world":[168],"datasets":[169],"show":[170],"proposed":[173],"C<sup":[174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>GNN":[176],"outperforms":[178],"state-of-the-art":[179],"Our":[184],"code":[185],"data":[187],"published":[189],"https://github.com/tabo0/CCGNN.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
