{"id":"https://openalex.org/W4297880095","doi":"https://doi.org/10.3390/s22197122","title":"A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information","display_name":"A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information","publication_year":2022,"publication_date":"2022-09-20","ids":{"openalex":"https://openalex.org/W4297880095","doi":"https://doi.org/10.3390/s22197122","pmid":"https://pubmed.ncbi.nlm.nih.gov/36236218"},"language":"en","primary_location":{"id":"doi:10.3390/s22197122","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197122","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7122/pdf?version=1664531121","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/19/7122/pdf?version=1664531121","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100696873","display_name":"Yonghong Yu","orcid":"https://orcid.org/0000-0003-2587-8090"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yonghong Yu","raw_affiliation_strings":["College of Tongda, Nanjing University of Posts and Telecommunication, Yangzhou 225127, China"],"raw_orcid":"https://orcid.org/0000-0003-2587-8090","affiliations":[{"raw_affiliation_string":"College of Tongda, Nanjing University of Posts and Telecommunication, Yangzhou 225127, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091894519","display_name":"Weiwen Qian","orcid":"https://orcid.org/0000-0003-2523-8173"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwen Qian","raw_affiliation_strings":["College of Tongda, Nanjing University of Posts and Telecommunication, Yangzhou 225127, China"],"raw_orcid":"https://orcid.org/0000-0003-2523-8173","affiliations":[{"raw_affiliation_string":"College of Tongda, Nanjing University of Posts and Telecommunication, Yangzhou 225127, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418950","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-6674-692X"},"institutions":[{"id":"https://openalex.org/I184558857","display_name":"Royal Holloway University of London","ror":"https://ror.org/04g2vpn86","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I184558857"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Department of Computer Science, Royal Holloway, University of London, Egham TW20 0EX, UK"],"raw_orcid":"https://orcid.org/0000-0001-6674-692X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Royal Holloway, University of London, Egham TW20 0EX, UK","institution_ids":["https://openalex.org/I184558857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052869008","display_name":"Rong Gao","orcid":"https://orcid.org/0000-0001-7935-7173"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Gao","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100696873"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":6.8533,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.96913445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"22","issue":"19","first_page":"7122","last_page":"7122"},"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":0.9905999898910522,"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/T11478","display_name":"Caching and Content Delivery","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6458324193954468},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5661237239837646},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5064040422439575},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4822574257850647},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.445752888917923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42911767959594727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41216135025024414},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40643537044525146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3390161395072937},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28836357593536377},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20895659923553467},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.18493664264678955},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08865416049957275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6458324193954468},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5661237239837646},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5064040422439575},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4822574257850647},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.445752888917923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42911767959594727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41216135025024414},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40643537044525146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3390161395072937},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28836357593536377},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20895659923553467},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.18493664264678955},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08865416049957275},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060756","descriptor_name":"Social Networking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060756","descriptor_name":"Social Networking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060756","descriptor_name":"Social Networking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22197122","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197122","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7122/pdf?version=1664531121","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36236218","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36236218","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:69369d89154249db9d986338b14bf98b","is_oa":true,"landing_page_url":"https://doaj.org/article/69369d89154249db9d986338b14bf98b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 19, p 7122 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/19/7122/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22197122","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 19; Pages: 7122","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9571652","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9571652","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22197122","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22197122","pdf_url":"https://www.mdpi.com/1424-8220/22/19/7122/pdf?version=1664531121","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297880095.pdf","grobid_xml":"https://content.openalex.org/works/W4297880095.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1994389483","https://openalex.org/W2000281623","https://openalex.org/W2081332171","https://openalex.org/W2093219534","https://openalex.org/W2108920354","https://openalex.org/W2109742433","https://openalex.org/W2110325612","https://openalex.org/W2119825970","https://openalex.org/W2135598826","https://openalex.org/W2144487656","https://openalex.org/W2171960770","https://openalex.org/W2244405900","https://openalex.org/W2519887557","https://openalex.org/W2548507127","https://openalex.org/W2624431344","https://openalex.org/W2811124557","https://openalex.org/W2914721378","https://openalex.org/W2945827670","https://openalex.org/W2963146368","https://openalex.org/W2996451395","https://openalex.org/W3011667710","https://openalex.org/W3045200674","https://openalex.org/W3090621192","https://openalex.org/W3100278010","https://openalex.org/W3108076872","https://openalex.org/W3110072028","https://openalex.org/W4205132462","https://openalex.org/W6680451568","https://openalex.org/W6688546294","https://openalex.org/W6760001035","https://openalex.org/W6785869379"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W2085756966","https://openalex.org/W2350679292","https://openalex.org/W2086348228"],"abstract_inverted_index":{"Social-network-based":[0],"recommendation":[1,18,23,46,59,153,193,198],"algorithms":[2,24],"leverage":[3],"rich":[4],"social":[5,58,114,130,152,192],"network":[6,56,115,131],"information":[7,105],"to":[8,66,100],"alleviate":[9,156],"the":[10,17,32,63,72,76,86,108,113,118,124,129,137,145,149,167,173,196],"problem":[11],"of":[12,74,79,88,140,148],"data":[13],"sparsity":[14],"and":[15,39,81,92,112,128,155,171,176],"boost":[16],"performance.":[19,47],"However,":[20],"traditional":[21],"social-network-based":[22],"ignore":[25],"high-order":[26,68],"collaborative":[27,34,69,119],"signals":[28,70,120],"or":[29],"only":[30,165],"consider":[31],"first-order":[33],"signal":[35],"when":[36],"learning":[37,75],"users'":[38],"items'":[40],"latent":[41,77],"representations,":[42],"resulting":[43],"in":[44,71,122],"suboptimal":[45],"In":[48],"this":[49],"paper,":[50],"we":[51,84,143],"propose":[52],"a":[53,160],"graph":[54,111,127,132],"neural":[55],"(GNN)-based":[57],"model":[60,154],"that":[61,164,188],"utilizes":[62],"GNN":[64,162],"framework":[65,163],"capture":[67],"process":[73,147],"representations":[78,87,139],"users":[80,91],"items.":[82],"Specifically,":[83],"formulate":[85],"entities,":[89],"i.e.,":[90],"items,":[93],"by":[94,158],"stacking":[95],"multiple":[96],"embedding":[97],"propagation":[98],"layers":[99],"recursively":[101],"aggregate":[102],"multi-hop":[103],"neighborhood":[104,168],"on":[106,183],"both":[107,123],"user-item":[109,125],"interaction":[110,126],"graph.":[116],"Hence,":[117],"hidden":[121],"are":[133],"explicitly":[134],"injected":[135],"into":[136],"final":[138],"entities.":[141],"Moreover,":[142],"ease":[144],"training":[146],"proposed":[150,190],"GNN-based":[151,191],"overfitting":[157],"adopting":[159],"lightweight":[161],"retains":[166],"aggregation":[169],"component":[170],"abandons":[172],"feature":[174],"transformation":[175],"nonlinear":[177],"activation":[178],"components.":[179],"The":[180],"experimental":[181],"results":[182],"two":[184],"real-world":[185],"datasets":[186],"show":[187],"our":[189],"method":[194],"outperforms":[195],"state-of-the-art":[197],"algorithms.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
