{"id":"https://openalex.org/W4405272187","doi":"https://doi.org/10.1109/icceic64099.2024.10775644","title":"Robust Semi-Supervised Community Detection Based on Symmetric Nonnegative Matrix Factorization","display_name":"Robust Semi-Supervised Community Detection Based on Symmetric Nonnegative Matrix Factorization","publication_year":2024,"publication_date":"2024-10-11","ids":{"openalex":"https://openalex.org/W4405272187","doi":"https://doi.org/10.1109/icceic64099.2024.10775644"},"language":"en","primary_location":{"id":"doi:10.1109/icceic64099.2024.10775644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceic64099.2024.10775644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Computer Engineering and Intelligent Control (ICCEIC)","raw_type":"proceedings-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/A5089891114","display_name":"Wenyun Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenyun Xie","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102810466","display_name":"Siyuan Peng","orcid":"https://orcid.org/0000-0003-4365-8243"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Peng","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064465418","display_name":"Zhijing Yang","orcid":"https://orcid.org/0000-0001-8336-5109"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijing Yang","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089891114"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20870943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9230999946594238,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9230999946594238,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7108943462371826},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6273257732391357},{"id":"https://openalex.org/keywords/matrix-algebra","display_name":"Matrix algebra","score":0.5121905207633972},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5064786672592163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.504967987537384},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.47618404030799866},{"id":"https://openalex.org/keywords/nonnegative-matrix","display_name":"Nonnegative matrix","score":0.4572141170501709},{"id":"https://openalex.org/keywords/symmetric-matrix","display_name":"Symmetric matrix","score":0.45326822996139526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4196992814540863},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4157452881336212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4094794988632202},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39140525460243225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29868271946907043},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0774075984954834},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07244604825973511}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7108943462371826},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6273257732391357},{"id":"https://openalex.org/C2988995629","wikidata":"https://www.wikidata.org/wiki/Q2915729","display_name":"Matrix algebra","level":3,"score":0.5121905207633972},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5064786672592163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.504967987537384},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.47618404030799866},{"id":"https://openalex.org/C139018669","wikidata":"https://www.wikidata.org/wiki/Q6961560","display_name":"Nonnegative matrix","level":4,"score":0.4572141170501709},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.45326822996139526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4196992814540863},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4157452881336212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4094794988632202},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39140525460243225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29868271946907043},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0774075984954834},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07244604825973511},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icceic64099.2024.10775644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icceic64099.2024.10775644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Computer Engineering and Intelligent Control (ICCEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W1968970305","https://openalex.org/W2082380642","https://openalex.org/W2119571791","https://openalex.org/W2288457463","https://openalex.org/W2557489574","https://openalex.org/W2985207252","https://openalex.org/W3026606665","https://openalex.org/W3088893343","https://openalex.org/W3094984007","https://openalex.org/W3123160711","https://openalex.org/W3194841521","https://openalex.org/W3202998373","https://openalex.org/W4200191747","https://openalex.org/W4230367971","https://openalex.org/W4283021971","https://openalex.org/W4283377296","https://openalex.org/W4286515917","https://openalex.org/W4294187161","https://openalex.org/W4312204318","https://openalex.org/W4312856860","https://openalex.org/W4313291359","https://openalex.org/W4327662601"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2108919995","https://openalex.org/W2069570686","https://openalex.org/W2022978200","https://openalex.org/W3099441337","https://openalex.org/W2731733684","https://openalex.org/W2083358384","https://openalex.org/W2768089427","https://openalex.org/W1989034480"],"abstract_inverted_index":{"The":[0],"symmetric":[1],"nonnegative":[2],"matrix":[3,149,157],"factorization":[4],"(SNMF)":[5],"model,":[6,161],"renowned":[7],"for":[8,17,39,76,113,137,169,186],"its":[9],"interpretability":[10],"and":[11,43,54,143,201,223],"efficiency,":[12],"has":[13,203],"been":[14,204],"extensively":[15],"adopted":[16],"community":[18,63,84,173,207],"detection":[19,41,64,85,208],"in":[20,33,44,73,83,135,197,206],"the":[21,78,98,122,126,132,139,146,155,159,166,177,193],"domain":[22],"of":[23,80,110,125,195,199],"complex":[24],"networks.":[25],"However,":[26],"existing":[27],"SNMF-based":[28,62,81,217],"approaches":[29],"exhibit":[30],"limitations,":[31,59],"particularly":[32,210],"capitalizing":[34],"on":[35,219],"limited":[36],"supervisory":[37,111],"information":[38,112],"enhanced":[40],"performance":[42,79],"their":[45],"vulnerability":[46],"to":[47,51,104],"data":[48],"distortion":[49],"due":[50],"non-Gaussian":[52],"noise":[53,142,226],"outliers.":[55,144],"To":[56],"overcome":[57],"these":[58],"a":[60,107,115,171,183],"novel":[61],"method,":[65],"namely":[66],"correntropy-based":[67],"semi-supervised":[68],"SNMF":[69,136,160],"(CSSNMF),":[70],"is":[71,90,150,180],"proposed":[72,178],"this":[74],"paper":[75],"boosting":[77],"methods":[82,218],"tasks.":[86],"More":[87],"specifically,":[88],"CSSNMF":[89,196],"characterized":[91],"by":[92],"two":[93],"principal":[94],"innovations:":[95],"1)":[96],"adopting":[97],"pairwise":[99],"constraints":[100],"propagation":[101],"(PCP)":[102],"algorithm":[103],"fully":[105],"utilize":[106],"small":[108],"amount":[109],"reconstructing":[114],"more":[116],"informative":[117],"adjacency":[118,148],"matrix;":[119],"2)":[120],"using":[121],"correntropy":[123],"instead":[124],"traditional":[127],"squared":[128],"Frobenius":[129],"norm":[130],"as":[131,154],"similarity":[133],"measure":[134],"enhancing":[138],"robustness":[140,202],"against":[141,214],"Notably,":[145],"learned":[147],"not":[151],"only":[152],"utilized":[153],"decomposed":[156],"within":[158],"but":[162],"also":[163],"integrated":[164],"into":[165,182],"graph":[167],"regularization":[168],"deriving":[170],"discriminative":[172],"indicator":[174],"matrix.":[175],"Moreover,":[176],"method":[179],"delved":[181],"thorough":[184],"analysis":[185],"computational":[187],"complexity.":[188],"Through":[189],"extensive":[190],"experimental":[191],"evaluations,":[192],"superiority":[194],"terms":[198],"effectiveness":[200],"demonstrated":[205],"applications,":[209],"when":[211],"bench":[212],"marked":[213],"several":[215],"leading":[216],"real-world":[220],"networks":[221],"with":[222],"without":[224],"significant":[225],"interference.":[227]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
