{"id":"https://openalex.org/W4223449011","doi":"https://doi.org/10.1145/3490479","title":"Collaborative Graph Learning for Session-based Recommendation","display_name":"Collaborative Graph Learning for Session-based Recommendation","publication_year":2022,"publication_date":"2022-04-12","ids":{"openalex":"https://openalex.org/W4223449011","doi":"https://doi.org/10.1145/3490479"},"language":"en","primary_location":{"id":"doi:10.1145/3490479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490479","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","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/A5041609304","display_name":"Zhiqiang Pan","orcid":"https://orcid.org/0000-0001-5484-1743"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Pan","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066699855","display_name":"Fei Cai","orcid":"https://orcid.org/0000-0002-5709-1682"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Cai","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101610493","display_name":"Wanyu Chen","orcid":"https://orcid.org/0000-0003-4470-9655"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanyu Chen","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054702314","display_name":"Chonghao Chen","orcid":"https://orcid.org/0000-0003-3919-8598"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chonghao Chen","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026327666","display_name":"Honghui Chen","orcid":"https://orcid.org/0009-0003-5234-0592"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghui Chen","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":16.4163,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.9915568,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"40","issue":"4","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.9962000250816345,"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/T10028","display_name":"Topic Modeling","score":0.980400025844574,"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":0.7939333319664001},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6757056713104248},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6251713037490845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5990962386131287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5579953789710999},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5349121689796448},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.272259920835495},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1956026256084442}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7939333319664001},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6757056713104248},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6251713037490845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5990962386131287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5579953789710999},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5349121689796448},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.272259920835495},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1956026256084442},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3490479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3490479","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6327288195","display_name":null,"funder_award_id":"61702526","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":65,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1965555277","https://openalex.org/W1971040550","https://openalex.org/W1985854669","https://openalex.org/W2000368573","https://openalex.org/W2038585576","https://openalex.org/W2040367556","https://openalex.org/W2042281163","https://openalex.org/W2157881433","https://openalex.org/W2171279286","https://openalex.org/W2171960770","https://openalex.org/W2605350416","https://openalex.org/W2626454364","https://openalex.org/W2739273093","https://openalex.org/W2746011824","https://openalex.org/W2795199972","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2932742062","https://openalex.org/W2945827670","https://openalex.org/W2953586472","https://openalex.org/W2953831886","https://openalex.org/W2963367478","https://openalex.org/W2963669159","https://openalex.org/W2964044287","https://openalex.org/W2964694324","https://openalex.org/W2964926209","https://openalex.org/W2965744319","https://openalex.org/W2967481075","https://openalex.org/W2984100107","https://openalex.org/W2986186789","https://openalex.org/W2986515219","https://openalex.org/W2988588486","https://openalex.org/W2988708240","https://openalex.org/W2988874658","https://openalex.org/W2997014384","https://openalex.org/W3021402147","https://openalex.org/W3031331881","https://openalex.org/W3033770268","https://openalex.org/W3034329572","https://openalex.org/W3034427927","https://openalex.org/W3034538328","https://openalex.org/W3034853385","https://openalex.org/W3035053861","https://openalex.org/W3035287707","https://openalex.org/W3038719422","https://openalex.org/W3065542300","https://openalex.org/W3080292067","https://openalex.org/W3080374445","https://openalex.org/W3088971166","https://openalex.org/W3093800735","https://openalex.org/W3094495518","https://openalex.org/W3096602707","https://openalex.org/W3100260481","https://openalex.org/W3100278010","https://openalex.org/W3100480425","https://openalex.org/W3101063193","https://openalex.org/W3101707147","https://openalex.org/W3102619277","https://openalex.org/W3106433415","https://openalex.org/W3112542089","https://openalex.org/W3122507327","https://openalex.org/W3168953488","https://openalex.org/W3173365306","https://openalex.org/W4287766237"],"related_works":["https://openalex.org/W2989932438","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2186333919","https://openalex.org/W4387297750","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1],"(SBR)":[2],",":[3],"which":[4,67],"mainly":[5,82],"relies":[6],"on":[7,210],"a":[8,18,59,101,116,126,194],"user\u2019s":[9,31,91],"limited":[10],"interactions":[11,57],"with":[12],"items":[13,38,97],"to":[14,29,39,115,144,189],"generate":[15],"recommendations,":[16],"is":[17,98,150],"widely":[19],"investigated":[20],"task.":[21],"Existing":[22],"methods":[23,81],"often":[24],"apply":[25],"RNNs":[26],"or":[27,34],"GNNs":[28],"model":[30],"sequential":[32,56,172],"behavior":[33],"transition":[35],"relationship":[36],"between":[37],"capture":[40],"her":[41],"current":[42],"preference.":[43],"For":[44],"training":[45],"such":[46],"models,":[47],"the":[48,55,62,76,84,90,105,110,138,155,161,171,175,180,202,228],"supervision":[49,157],"signals":[50,163],"are":[51,168,177,208],"merely":[52],"generated":[53],"from":[54,179],"inside":[58],"session,":[60],"neglecting":[61],"correlations":[63],"of":[64,104,233],"different":[65],"sessions,":[66],"we":[68,124,192],"argue":[69],"can":[70,226],"provide":[71],"additional":[72],"supervisions":[73,167],"for":[74,87,132],"learning":[75,199],"item":[77,146],"representations.":[78],"Moreover,":[79],"previous":[80],"adopt":[83],"cross-entropy":[85],"loss":[86],"training,":[88],"where":[89],"ground":[92],"truth":[93],"preference":[94],"distribution":[95],"towards":[96],"regarded":[99],"as":[100,158,160],"one-hot":[102],"vector":[103],"target":[106],"item,":[107],"easily":[108],"making":[109],"network":[111],"over-confident":[112],"and":[113,148,218,235],"leading":[114],"serious":[117],"overfitting":[118],"problem.":[119],"Thus,":[120],"in":[121,201,231],"this":[122],"article,":[123],"propose":[125,193],"Collaborative":[127],"Graph":[128,140],"Learning":[129],"(CGL)":[130],"approach":[131],"session-based":[133],"recommendation.":[134],"CGL":[135,225],"first":[136],"applies":[137],"Gated":[139],"Neural":[141],"Networks":[142],"(GGNNs)":[143],"learn":[145],"embeddings":[147],"then":[149],"trained":[151],"by":[152,170,184],"considering":[153],"both":[154],"main":[156,166,203],"well":[159],"self-supervision":[162],"simultaneously.":[164],"The":[165,220],"produced":[169],"order":[173],"while":[174],"self-supervisions":[176],"derived":[178],"global":[181],"graph":[182],"constructed":[183],"all":[185],"sessions.":[186],"In":[187],"addition,":[188],"prevent":[190],"overfitting,":[191],"Target-aware":[195],"Label":[196],"Confusion":[197],"(TLC)":[198],"method":[200],"supervised":[204],"component.":[205],"Extensive":[206],"experiments":[207],"conducted":[209],"three":[211],"publicly":[212],"available":[213],"datasets,":[214],"i.e.,":[215],"Retailrocket,":[216],"Diginetica,":[217],"Gowalla.":[219],"experimental":[221],"results":[222],"show":[223],"that":[224],"outperform":[227],"state-of-the-art":[229],"baselines":[230],"terms":[232],"Recall":[234],"MRR.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
