{"id":"https://openalex.org/W4391621158","doi":"https://doi.org/10.1109/tcss.2024.3355780","title":"DCL: Diversified Graph Recommendation With Contrastive Learning","display_name":"DCL: Diversified Graph Recommendation With Contrastive Learning","publication_year":2024,"publication_date":"2024-02-07","ids":{"openalex":"https://openalex.org/W4391621158","doi":"https://doi.org/10.1109/tcss.2024.3355780"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2024.3355780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3355780","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social 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/A5040849589","display_name":"Daohan Su","orcid":"https://orcid.org/0009-0003-1627-9608"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Daohan Su","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-1627-9608","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018923162","display_name":"Bowen Fan","orcid":"https://orcid.org/0009-0004-3763-2738"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Fan","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-3763-2738","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027181803","display_name":"Zengyu Zhang","orcid":"https://orcid.org/0009-0008-5739-6401"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Zhang","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-5739-6401","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057933021","display_name":"Haoyan Fu","orcid":"https://orcid.org/0009-0002-3263-2427"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyan Fu","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-3263-2427","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076872812","display_name":"Zhida Qin","orcid":"https://orcid.org/0000-0002-9270-1810"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhida Qin","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9270-1810","affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040849589"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":6.714,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.96518639,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"3","first_page":"4114","last_page":"4126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9969000220298767,"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":0.9056000113487244,"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":0.7568061351776123},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.696747362613678},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6424648761749268},{"id":"https://openalex.org/keywords/diversification","display_name":"Diversification (marketing strategy)","score":0.6266664862632751},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5269718170166016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5198426842689514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4634219706058502},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4358820617198944},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3875671923160553},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3695739209651947},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24601837992668152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7568061351776123},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.696747362613678},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6424648761749268},{"id":"https://openalex.org/C180916674","wikidata":"https://www.wikidata.org/wiki/Q3711935","display_name":"Diversification (marketing strategy)","level":2,"score":0.6266664862632751},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5269718170166016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5198426842689514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4634219706058502},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4358820617198944},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3875671923160553},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3695739209651947},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24601837992668152},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2024.3355780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2024.3355780","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3996011375","display_name":null,"funder_award_id":"62102029","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"},{"id":"https://openalex.org/F4320327514","display_name":"Beijing Institute of Technology Research Fund Program for Young Scholars","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W2023599408","https://openalex.org/W2111094216","https://openalex.org/W2122925692","https://openalex.org/W2128476487","https://openalex.org/W2140310134","https://openalex.org/W2153111836","https://openalex.org/W2154851992","https://openalex.org/W2155912844","https://openalex.org/W2159094788","https://openalex.org/W2187089797","https://openalex.org/W2512971201","https://openalex.org/W2604836762","https://openalex.org/W2605350416","https://openalex.org/W2624407581","https://openalex.org/W2899676218","https://openalex.org/W2913560138","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2950416834","https://openalex.org/W2963601856","https://openalex.org/W2963655167","https://openalex.org/W2963707260","https://openalex.org/W2964015378","https://openalex.org/W3005680577","https://openalex.org/W3035524453","https://openalex.org/W3045200674","https://openalex.org/W3083748063","https://openalex.org/W3094605801","https://openalex.org/W3100278010","https://openalex.org/W3104097132","https://openalex.org/W3106439716","https://openalex.org/W3111533018","https://openalex.org/W3113111320","https://openalex.org/W3129482887","https://openalex.org/W3138773240","https://openalex.org/W3152597201","https://openalex.org/W3152663991","https://openalex.org/W3153325943","https://openalex.org/W3155496675","https://openalex.org/W3155919942","https://openalex.org/W3169752883","https://openalex.org/W3171007011","https://openalex.org/W3173365306","https://openalex.org/W3192055963","https://openalex.org/W3208338073","https://openalex.org/W4212931205","https://openalex.org/W4220909642","https://openalex.org/W4224914537","https://openalex.org/W4225579889","https://openalex.org/W4283079518","https://openalex.org/W4285267073","https://openalex.org/W4309795480","https://openalex.org/W4312702685","https://openalex.org/W4362576715","https://openalex.org/W4384652641","https://openalex.org/W4385194695","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6680830989","https://openalex.org/W6682948231","https://openalex.org/W6689251992","https://openalex.org/W6712581056","https://openalex.org/W6726873649","https://openalex.org/W6731773038","https://openalex.org/W6751707208","https://openalex.org/W6774314701"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"Diversified":[0],"recommendation":[1,85,89],"systems":[2,86],"have":[3,17,28],"gained":[4],"increasing":[5],"popularity":[6],"in":[7,100],"recent":[8],"years.":[9],"Nowadays,":[10],"the":[11,22,36,41,46,104,111,124,143],"emerged":[12],"graph":[13,88],"neural":[14],"networks":[15],"(GNNs)":[16],"been":[18,29],"used":[19],"to":[20,48,58,67,164],"improve":[21],"diversity":[23,183],"performance.":[24,60],"Although":[25],"some":[26],"progresses":[27],"made,":[30],"existing":[31],"works":[32],"purely":[33],"focus":[34],"on":[35,173],"user\u2013item":[37,105],"interactions":[38],"and":[39,56,74,121,130,134,140,149,170],"overlook":[40],"category":[42,70],"information,":[43],"which":[44],"limits":[45],"capability":[47],"capture":[49],"complex":[50],"diversification":[51],"among":[52],"users":[53,120,129],"or":[54],"items":[55,139,148],"leads":[57],"poor":[59],"In":[61],"this":[62,78],"article,":[63],"our":[64,101,178],"target":[65],"is":[66],"integrate":[68],"full":[69],"information":[71],"into":[72],"user":[73],"item":[75],"embeddings.":[76],"To":[77],"end,":[79],"we":[80,95,158],"propose":[81],"a":[82,160,166,186],"diversified":[83,87],"GNN-based":[84],"with":[90,107],"contrastive":[91,117,136],"learning":[92,118,137],"(DCL).":[93],"Specifically,":[94],"design":[96],"three":[97,156],"key":[98],"components":[99],"model:":[102],"1)":[103],"interaction":[106,112],"category-related":[108],"sampling":[109],"enhances":[110],"of":[113,126,145],"unpopular":[114],"items;":[115],"2)":[116],"between":[119,128,138,147,168],"categories":[122,141],"shortens":[123],"distance":[125,144],"representations":[127,146],"their":[131,150],"uninteracted":[132],"categories;":[133],"3)":[135],"diverges":[142],"corresponding":[151],"categories.":[152],"By":[153],"applying":[154],"these":[155],"modules,":[157],"build":[159],"multitask":[161],"training":[162],"framework":[163],"achieve":[165],"balance":[167],"accuracy":[169],"diversity.":[171],"Experiments":[172],"real-world":[174],"datasets":[175],"show":[176],"that":[177],"proposed":[179],"DCL":[180],"achieves":[181],"optimal":[182],"while":[184],"paying":[185],"little":[187],"price":[188],"for":[189],"accuracy.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}