{"id":"https://openalex.org/W4409102257","doi":"https://doi.org/10.1109/tnse.2025.3557041","title":"A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty","display_name":"A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty","publication_year":2025,"publication_date":"2025-04-03","ids":{"openalex":"https://openalex.org/W4409102257","doi":"https://doi.org/10.1109/tnse.2025.3557041"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2025.3557041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3557041","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/A5100528534","display_name":"Hou Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yu Hou","raw_affiliation_strings":["School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea","School of Mathematics and Computing ( Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Mathematics and Computing ( Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067894717","display_name":"Cong Tran","orcid":"https://orcid.org/0000-0001-9467-4978"},"institutions":[{"id":"https://openalex.org/I4400600977","display_name":"Posts and Telecommunications Institute of Technology","ror":"https://ror.org/0363rtq22","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600977"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Cong Tran","raw_affiliation_strings":["Faculty of Information Technology, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4400600977"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351382","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-1218-2804"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Zhejiang Institute of Optoelectronics, Jinhua, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Institute of Optoelectronics, Jinhua, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086873475","display_name":"Won-Yong Shin","orcid":"https://orcid.org/0000-0002-6533-3469"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Won-Yong Shin","raw_affiliation_strings":["School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea","School of Mathematics and Computing ( Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computing (Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Mathematics and Computing ( Computational Science and Engineering), Yonsei University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100528534"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05356909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"4","first_page":"3159","last_page":"3176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.963699996471405,"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":0.963699996471405,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5127404928207397},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4710999131202698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28905177116394043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5127404928207397},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4710999131202698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28905177116394043},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3557041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3557041","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1595449516","https://openalex.org/W2000560314","https://openalex.org/W2012921801","https://openalex.org/W2019512103","https://openalex.org/W2025984714","https://openalex.org/W2040379910","https://openalex.org/W2050239729","https://openalex.org/W2062773165","https://openalex.org/W2084346109","https://openalex.org/W2107709347","https://openalex.org/W2109469951","https://openalex.org/W2117764127","https://openalex.org/W2118034740","https://openalex.org/W2124199381","https://openalex.org/W2138621090","https://openalex.org/W2139694940","https://openalex.org/W2150442700","https://openalex.org/W2151936673","https://openalex.org/W2153803020","https://openalex.org/W2157364932","https://openalex.org/W2158908968","https://openalex.org/W2164928285","https://openalex.org/W2170930673","https://openalex.org/W2171590421","https://openalex.org/W2511428207","https://openalex.org/W2560492758","https://openalex.org/W2739865319","https://openalex.org/W2788275686","https://openalex.org/W2800990595","https://openalex.org/W2897979119","https://openalex.org/W2905441753","https://openalex.org/W2907373723","https://openalex.org/W2907492528","https://openalex.org/W2914913933","https://openalex.org/W2966502719","https://openalex.org/W2997686727","https://openalex.org/W3001972283","https://openalex.org/W3004507689","https://openalex.org/W3035665545","https://openalex.org/W3093178842","https://openalex.org/W3126625348","https://openalex.org/W3131004003","https://openalex.org/W3162357584","https://openalex.org/W3164338400","https://openalex.org/W3185484565","https://openalex.org/W4290927778","https://openalex.org/W4306317076","https://openalex.org/W4391582451","https://openalex.org/W4393238102","https://openalex.org/W6631043144","https://openalex.org/W6631190155","https://openalex.org/W6635874627","https://openalex.org/W6636447677","https://openalex.org/W6675354045","https://openalex.org/W6683180375","https://openalex.org/W6726380605","https://openalex.org/W6726873649","https://openalex.org/W6735855921","https://openalex.org/W6738964360","https://openalex.org/W6752782053","https://openalex.org/W6756615331","https://openalex.org/W6760045743","https://openalex.org/W6760423706","https://openalex.org/W6762759627","https://openalex.org/W6763813028","https://openalex.org/W6773092609","https://openalex.org/W6780230476","https://openalex.org/W6803512735"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"social":[1],"networks,":[2,158],"the":[3,29,98,145,162,180,184,200,210,228,231],"discovery":[4],"of":[5,91,164,194,202,212,230],"community":[6,40,170],"structures":[7],"has":[8],"received":[9],"considerable":[10],"attention":[11],"as":[12],"a":[13,58],"fundamental":[14],"problem":[15],"in":[16,95,192,205,215],"various":[17],"network":[18,30,46,100,142],"analysis":[19],"tasks.":[20],"However,":[21],"due":[22],"to":[23,97,177],"privacy":[24],"concerns":[25],"or":[26],"access":[27],"restrictions,":[28],"structure":[31],"is":[32],"often":[33],"<italic":[34,66,72,105,122,132],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[35,56,67,73,88,106,123,133,166,207,217],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">uncertain</i>,":[36],"thereby":[37],"rendering":[38],"established":[39],"detection":[41,171],"approaches":[42],"ineffective":[43],"without":[44],"costly":[45],"topology":[47],"acquisition.":[48],"To":[49],"tackle":[50],"this":[51],"challenge,":[52],"we":[53,159],"present":[54],"<monospace":[55,87,165,206,216],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">META-CODE</monospace>,":[57,208],"unified":[59],"framework":[60],"for":[61],"detecting":[62],"overlapping":[63],"communities":[64],"via":[65,126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">exploratory":[68],"learning</i>":[69],"aided":[70],"by":[71,116],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">easy-to-collect</i>":[74],"node":[75,128,213],"metadata":[76],"when":[77],"networks":[78,113],"are":[79],"topologically":[80],"unknown":[81],"(or":[82],"only":[83],"partially":[84],"known).":[85],"Specifically,":[86],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">META-CODE</monospace>":[89,167,218],"consists":[90],"three":[92,152],"iterative":[93],"steps":[94],"addition":[96],"initial":[99],"inference":[101],"step:":[102],"1)":[103],"node-level":[104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">community-affiliation":[107],"embeddings</i>":[108],"based":[109,219],"on":[110,151,179,220],"graph":[111],"neural":[112,141],"(GNNs)":[114],"trained":[115],"our":[117,188],"new":[118],"reconstruction":[119],"loss,":[120],"2)":[121],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">network":[124,134],"exploration</i>":[125],"community-affiliation-based":[127],"queries,":[129],"and":[130,223,226],"3)":[131],"inference</i>":[135],"using":[136],"an":[137],"edge":[138],"connectivity-based":[139],"Siamese":[140],"model":[143],"from":[144],"explored":[146],"network.":[147,233],"Through":[148],"extensive":[149],"experiments":[150],"real-world":[153],"datasets":[154],"including":[155],"two":[156],"large":[157],"demonstrate:":[160],"(a)":[161],"superiority":[163],"over":[168,183],"benchmark":[169],"methods,":[172],"achieving":[173],"remarkable":[174],"gains":[175],"up":[176],"65.55%":[178],"Facebook":[181],"dataset":[182],"best":[185],"competitor":[186],"among":[187],"selected":[189],"competitive":[190],"methods":[191],"terms":[193],"normalized":[195],"mutual":[196],"information":[197],"(NMI),":[198],"(b)":[199],"impact":[201],"each":[203],"module":[204],"(c)":[209],"effectiveness":[211],"queries":[214],"empirical":[221],"evaluations":[222],"theoretical":[224],"findings,":[225],"(d)":[227],"convergence":[229],"inferred":[232]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}