{"id":"https://openalex.org/W3197998683","doi":"https://doi.org/10.1109/tnse.2021.3110677","title":"Self-Attentive Graph Convolution Network With Latent Group Mining and Collaborative Filtering for Personalized Recommendation","display_name":"Self-Attentive Graph Convolution Network With Latent Group Mining and Collaborative Filtering for Personalized Recommendation","publication_year":2021,"publication_date":"2021-09-08","ids":{"openalex":"https://openalex.org/W3197998683","doi":"https://doi.org/10.1109/tnse.2021.3110677","mag":"3197998683"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2021.3110677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2021.3110677","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","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/A5082460527","display_name":"Shenghao Liu","orcid":"https://orcid.org/0000-0001-8993-8940"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghao Liu","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST), Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8993-8940","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST), Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071384393","display_name":"Bang Wang","orcid":"https://orcid.org/0000-0002-0312-4805"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bang Wang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST), Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0312-4805","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST), Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028756333","display_name":"Xianjun Deng","orcid":"https://orcid.org/0000-0001-5756-9765"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianjun Deng","raw_affiliation_strings":["School of Cyber Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5756-9765","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049154222","display_name":"Laurence T. Yang","orcid":"https://orcid.org/0000-0002-7986-4244"},"institutions":[{"id":"https://openalex.org/I197191942","display_name":"St. Francis Xavier University","ror":"https://ror.org/01wcaxs37","country_code":"CA","type":"education","lineage":["https://openalex.org/I197191942"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Laurence T. Yang","raw_affiliation_strings":["School of Cyber Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China","Department of Computer Science, St. Francis Xavier University, Antigonish, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7986-4244","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Department of Computer Science, St. Francis Xavier University, Antigonish, Canada","institution_ids":["https://openalex.org/I197191942"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0929,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.96933739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"9","issue":"5","first_page":"3212","last_page":"3221"},"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":0.9991999864578247,"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":0.9919999837875366,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.7961698770523071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7068014740943909},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5855106115341187},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5759052634239197},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5357038378715515},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.42344149947166443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3955265283584595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36044132709503174},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31951045989990234},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.29654961824417114},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10230177640914917}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7961698770523071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7068014740943909},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5855106115341187},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5759052634239197},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5357038378715515},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.42344149947166443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3955265283584595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36044132709503174},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31951045989990234},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29654961824417114},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10230177640914917},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2021.3110677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2021.3110677","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5824610820","display_name":null,"funder_award_id":"62172167","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":48,"referenced_works":["https://openalex.org/W1508314812","https://openalex.org/W2140310134","https://openalex.org/W2219888463","https://openalex.org/W2270277444","https://openalex.org/W2596860718","https://openalex.org/W2605350416","https://openalex.org/W2739871713","https://openalex.org/W2743104969","https://openalex.org/W2745413481","https://openalex.org/W2757344433","https://openalex.org/W2799012401","https://openalex.org/W2807021761","https://openalex.org/W2884657211","https://openalex.org/W2903831494","https://openalex.org/W2914050157","https://openalex.org/W2917997148","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2946204349","https://openalex.org/W2950260856","https://openalex.org/W2955106599","https://openalex.org/W2955966953","https://openalex.org/W2962756421","https://openalex.org/W2963085847","https://openalex.org/W2986878478","https://openalex.org/W2991423131","https://openalex.org/W2998101974","https://openalex.org/W3004507689","https://openalex.org/W3011131042","https://openalex.org/W3024836211","https://openalex.org/W3035598449","https://openalex.org/W3038439974","https://openalex.org/W3044311607","https://openalex.org/W3049724972","https://openalex.org/W3080576782","https://openalex.org/W3081199790","https://openalex.org/W3093707081","https://openalex.org/W3100278010","https://openalex.org/W3100324210","https://openalex.org/W3100790518","https://openalex.org/W3100848837","https://openalex.org/W3103513278","https://openalex.org/W3104326162","https://openalex.org/W3105036728","https://openalex.org/W3164675724","https://openalex.org/W3177624059","https://openalex.org/W6680830989","https://openalex.org/W6726873649"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"The":[0,79,99,116],"remarkable":[1],"progress":[2],"of":[3,43],"machine":[4],"learning":[5],"has":[6],"led":[7],"to":[8,107,133],"some":[9],"state-of-the-art":[10,155],"algorithms":[11,17],"in":[12],"personalized":[13],"recommendation.":[14],"Previous":[15],"recommendation":[16,55],"generally":[18],"learn":[19,134],"users\u2019":[20,83,120],"and":[21,64,91,97,114,124],"items\u2019":[22],"representations":[23,137],"based":[24],"on":[25,144],"a":[26,35,53,103,128],"user-item":[27],"rating":[28,139],"matrix.":[29],"However,":[30],"these":[31],"methods":[32],"only":[33],"consider":[34],"user's":[36,45],"own":[37],"preference,":[38],"but":[39],"ignore":[40],"the":[41,44,154],"influence":[42],"social":[46,84],"circles.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"propose":[52],"novel":[54],"algorithm,Self-Attentive":[56],"Graph":[57,76],"Convolution":[58],"Network":[59],"with":[60],"Latent":[61],"Group":[62,70],"Mining":[63],"Collaborative":[65],"Filtering,":[66],"which":[67,148],"consists":[68],"ofLatent":[69],"Mining(LGM)":[71],"module,Collaborative":[72],"Embedding(CE)":[73],"module":[74,81,101,118],"andSelf-Attentive":[75],"Convolution(SAGC)":[77],"module.":[78],"LGM":[80],"analyzes":[82],"circles":[85],"by":[86,127],"exploring":[87],"their":[88,135],"latent":[89],"groups":[90],"generates":[92],"group":[93,125],"embedding":[94,105,111,123,126],"for":[95,112,138],"users":[96,113],"items.":[98,115],"CE":[100],"uses":[102],"graph":[104,130],"method":[106],"provide":[108],"semantic":[109],"collaborative":[110,122],"SAGC":[117],"fuses":[119],"(items\u2019)":[121],"self-attentive":[129],"convolution":[131],"network":[132],"fine-grained":[136],"prediction.":[140],"We":[141],"conduct":[142],"experiments":[143],"different":[145],"real-world":[146],"datasets,":[147],"validates":[149],"that":[150],"our":[151],"algorithm":[152],"outperforms":[153],"algorithms.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":14}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}