{"id":"https://openalex.org/W4385627127","doi":"https://doi.org/10.1109/tcss.2023.3292145","title":"CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks","display_name":"CSAT: Contrastive Sampling-Aggregating Transformer for Community Detection in Attribute-Missing Networks","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W4385627127","doi":"https://doi.org/10.1109/tcss.2023.3292145"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2023.3292145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2023.3292145","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/A5013536349","display_name":"Mengran Li","orcid":"https://orcid.org/0000-0001-7540-530X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengran Li","raw_affiliation_strings":["Department of Information Science, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7540-530X","affiliations":[{"raw_affiliation_string":"Department of Information Science, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070956153","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0001-6650-6790"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Department of Information Science, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6650-6790","affiliations":[{"raw_affiliation_string":"Department of Information Science, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400564","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-8958-8506"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["College of Economics and Management, China Agricultural University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8958-8506","affiliations":[{"raw_affiliation_string":"College of Economics and Management, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052346042","display_name":"Shiyu Zhao","orcid":"https://orcid.org/0000-0003-3098-8059"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Zhao","raw_affiliation_strings":["Department of Information Science, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027030083","display_name":"Xinglin Piao","orcid":"https://orcid.org/0000-0003-3774-5789"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinglin Piao","raw_affiliation_strings":["Department of Information Science, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Department of Information Science, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3121-1823","affiliations":[{"raw_affiliation_string":"Department of Information Science, Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5368,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8088996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":"2","first_page":"2277","last_page":"2290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9944999814033508,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7361844778060913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7352738976478577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.702163815498352},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6123694181442261},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5883730053901672},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5242255330085754},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.431433767080307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41084492206573486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35952597856521606},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12149709463119507}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7361844778060913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352738976478577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.702163815498352},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6123694181442261},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5883730053901672},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5242255330085754},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.431433767080307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41084492206573486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35952597856521606},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12149709463119507},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2023.3292145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2023.3292145","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/G1032458289","display_name":null,"funder_award_id":"2021 ZD0111902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2392307573","display_name":"\u9762\u5411\u4ea4\u901a\u9884\u6d4b\u7684\u8d85\u56fe\u6df1\u5ea6\u7f51\u7edc\u6a21\u578b\u7814\u7a76\u53ca\u5e94\u7528","funder_award_id":"62072015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645460288","display_name":null,"funder_award_id":"4222021","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7744321187","display_name":null,"funder_award_id":"U19B2039","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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1540935623","https://openalex.org/W1614298861","https://openalex.org/W1630959083","https://openalex.org/W1888005072","https://openalex.org/W1979104937","https://openalex.org/W2027447600","https://openalex.org/W2037096232","https://openalex.org/W2095189226","https://openalex.org/W2096863518","https://openalex.org/W2120043163","https://openalex.org/W2127048411","https://openalex.org/W2132202037","https://openalex.org/W2154851992","https://openalex.org/W2624407581","https://openalex.org/W2788919350","https://openalex.org/W2900470550","https://openalex.org/W2909291893","https://openalex.org/W2943501111","https://openalex.org/W2950880273","https://openalex.org/W2951369132","https://openalex.org/W2961295589","https://openalex.org/W2962756421","https://openalex.org/W2963666064","https://openalex.org/W2964015378","https://openalex.org/W2990045899","https://openalex.org/W3009901425","https://openalex.org/W3033039844","https://openalex.org/W3091993229","https://openalex.org/W3092835783","https://openalex.org/W3099064659","https://openalex.org/W3102641634","https://openalex.org/W3103973800","https://openalex.org/W3104097132","https://openalex.org/W3157651337","https://openalex.org/W3164338400","https://openalex.org/W3168925038","https://openalex.org/W3194841521","https://openalex.org/W3208506679","https://openalex.org/W3216759837","https://openalex.org/W4221166193","https://openalex.org/W4225129532","https://openalex.org/W4287331757","https://openalex.org/W4297733535","https://openalex.org/W4322614756","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6699364125","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6737558694","https://openalex.org/W6738964360","https://openalex.org/W6755573351","https://openalex.org/W6756561102","https://openalex.org/W6765543928","https://openalex.org/W6779940601","https://openalex.org/W6779961489","https://openalex.org/W6784694379","https://openalex.org/W6784776072","https://openalex.org/W6784977419","https://openalex.org/W6809831610","https://openalex.org/W6810465265","https://openalex.org/W6840601695"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2487162673","https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W4283773154"],"abstract_inverted_index":{"Community":[0],"detection":[1,36,68],"aims":[2],"to":[3,38,51,78,85,91,110,127,166],"identify":[4],"dense":[5],"subgroups":[6],"of":[7,34,118],"nodes":[8,83],"within":[9],"a":[10,93,105],"network.":[11],"However,":[12],"in":[13,69],"real-world":[14],"networks,":[15],"node":[16],"attributes":[17],"are":[18],"often":[19],"missing,":[20],"making":[21],"traditional":[22],"methods":[23,169],"less":[24],"effective.":[25],"In":[26],"networks":[27],"with":[28,40],"missing":[29,42],"attributes,":[30],"the":[31,41,74,119,124,129,139,144,149,167],"main":[32],"challenge":[33],"community":[35,67,100,171],"is":[37],"deal":[39],"attribute":[43,116],"information":[44,50,87,146],"efficiently":[45],"and":[46,84,96,107,114,122,152],"use":[47],"network":[48,120,150],"structure":[49,121,151],"make":[52],"accurate":[53,97],"predictions.":[54],"This":[55],"article":[56],"proposes":[57],"an":[58],"innovative":[59],"method":[60,136],"called":[61],"contrastive":[62,75],"sampling-aggregating":[63],"transformer":[64],"(CSAT)":[65],"for":[66,99,170],"attribute-missing":[70,140],"networks.":[71],"CSAT":[72,103],"incorporates":[73],"learning":[76],"principle":[77],"capture":[79],"hidden":[80],"patterns":[81],"among":[82],"aggregate":[86],"from":[88,147],"different":[89,112],"samples":[90,113],"create":[92],"more":[94],"robust":[95],"methodology":[98],"detection.":[101,172],"Specifically,":[102],"utilizes":[104],"sampling":[106],"propagation":[108],"strategy":[109],"obtain":[111],"smooth":[115],"features":[117],"leverages":[123],"Transformer":[125],"architecture":[126],"model":[128],"pairwise":[130],"relationships":[131],"between":[132],"nodes.":[133],"Therefore,":[134],"our":[135],"can":[137],"address":[138],"issue":[141],"by":[142],"integrating":[143],"auxiliary":[145],"both":[148],"other":[153],"sources.":[154],"Extensive":[155],"experiments":[156],"on":[157],"several":[158],"benchmark":[159],"datasets":[160],"demonstrate":[161],"CSAT\u2019s":[162],"superior":[163],"performance":[164],"compared":[165],"state-of-the-art":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}