{"id":"https://openalex.org/W4407691313","doi":"https://doi.org/10.1109/tkde.2025.3543378","title":"Rethinking Variational Bayes in Community Detection From Graph Signal Perspective","display_name":"Rethinking Variational Bayes in Community Detection From Graph Signal Perspective","publication_year":2025,"publication_date":"2025-02-18","ids":{"openalex":"https://openalex.org/W4407691313","doi":"https://doi.org/10.1109/tkde.2025.3543378"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3543378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3543378","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://scholars.cityu.edu.hk/en/publications/data-resolution-and-future-challenges-in-automated-undersea-cable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028868684","display_name":"Junwei Cheng","orcid":"https://orcid.org/0000-0001-9582-1917"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junwei Cheng","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120811349","display_name":"Yong Tang","orcid":"https://orcid.org/0000-0002-9812-0742"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Tang","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026139698","display_name":"Chaobo He","orcid":"https://orcid.org/0000-0002-6651-1175"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaobo He","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004050684","display_name":"Pengxing Feng","orcid":"https://orcid.org/0000-0002-8946-2388"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pengxing Feng","raw_affiliation_strings":["Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017665775","display_name":"Kunlin Han","orcid":"https://orcid.org/0009-0001-2381-6315"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kunlin Han","raw_affiliation_strings":["Computer Science Department, University of Southern California, Los Angeles, CA, USA","Computer Science Department, University of Southern California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Computer Science Department, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084935157","display_name":"Quanlong Guan","orcid":"https://orcid.org/0000-0001-6911-3853"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanlong Guan","raw_affiliation_strings":["School of Information Science and Technology, Jinan University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5028868684"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":3.7148,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91748128,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"37","issue":"5","first_page":"2903","last_page":"2917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9835000038146973,"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":0.9835000038146973,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9372000098228455,"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/computer-science","display_name":"Computer science","score":0.7132744193077087},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5606205463409424},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5458070635795593},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.46966540813446045},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4398801028728485},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.4346506595611572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43034934997558594},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4111374318599701},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36135268211364746},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.35012948513031006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3335952162742615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18005189299583435},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15622717142105103},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.11253303289413452},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10208970308303833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7132744193077087},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5606205463409424},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5458070635795593},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.46966540813446045},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4398801028728485},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.4346506595611572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43034934997558594},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4111374318599701},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36135268211364746},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.35012948513031006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3335952162742615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18005189299583435},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15622717142105103},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.11253303289413452},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10208970308303833},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tkde.2025.3543378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3543378","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"is_oa":true,"landing_page_url":"https://scholars.cityu.edu.hk/en/publications/data-resolution-and-future-challenges-in-automated-undersea-cable","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cheng, J, Tang, Y, He, C, Feng, P, Han, K & Guan, Q 2025, 'Rethinking Variational Bayes in Community Detection from Graph Signal Perspective', IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 5, pp. 2903-2917. https://doi.org/10.1109/TKDE.2025.3543378","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:publications/25c91cad-bd52-455c-9fe3-220d6b073e87","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/25c91cad-bd52-455c-9fe3-220d6b073e87","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cheng, J, Tang, Y, He, C, Feng, P, Han, K & Guan, Q 2025, 'Rethinking Variational Bayes in Community Detection from Graph Signal Perspective', IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 5, pp. 2903-2917. https://doi.org/10.1109/TKDE.2025.3543378","raw_type":"article"}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://scholars.cityu.edu.hk/en/publications/data-resolution-and-future-challenges-in-automated-undersea-cable","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cheng, J, Tang, Y, He, C, Feng, P, Han, K & Guan, Q 2025, 'Rethinking Variational Bayes in Community Detection from Graph Signal Perspective', IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 5, pp. 2903-2917. https://doi.org/10.1109/TKDE.2025.3543378","raw_type":"article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3260912932","display_name":null,"funder_award_id":"62477016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3776946349","display_name":null,"funder_award_id":"62077045","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2008620264","https://openalex.org/W2078482049","https://openalex.org/W2793477525","https://openalex.org/W2796431263","https://openalex.org/W2907373723","https://openalex.org/W2907492528","https://openalex.org/W2943186426","https://openalex.org/W2966502719","https://openalex.org/W2968764971","https://openalex.org/W3008862053","https://openalex.org/W3034658947","https://openalex.org/W3037256335","https://openalex.org/W3128443161","https://openalex.org/W3136526008","https://openalex.org/W3181189986","https://openalex.org/W3199612398","https://openalex.org/W4226076516","https://openalex.org/W4285606778","https://openalex.org/W4311138685","https://openalex.org/W4312622641","https://openalex.org/W4319024142","https://openalex.org/W4323545774","https://openalex.org/W4365397975","https://openalex.org/W4389778193","https://openalex.org/W4390692039","https://openalex.org/W4391365469","https://openalex.org/W6640963894","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6750392246","https://openalex.org/W6752733204","https://openalex.org/W6760001035","https://openalex.org/W6767032894","https://openalex.org/W6767109353","https://openalex.org/W6784809424","https://openalex.org/W6810398666","https://openalex.org/W6845837341"],"related_works":["https://openalex.org/W2012610719","https://openalex.org/W2009699504","https://openalex.org/W1987909119","https://openalex.org/W50301684","https://openalex.org/W235411870","https://openalex.org/W4237728685","https://openalex.org/W2089519699","https://openalex.org/W2122780970","https://openalex.org/W4205850011","https://openalex.org/W2093884717"],"abstract_inverted_index":{"Methods":[0],"based":[1],"on":[2,139],"variational":[3,27,148,159],"bayes":[4,28,149],"theorytare":[5],"widely":[6],"used":[7],"to":[8,49,68,153,175],"detect":[9],"community":[10,99,161],"structures":[11],"in":[12,63,87,216],"networks.":[13],"In":[14],"recent":[15],"years,":[16],"many":[17],"related":[18],"methods":[19,38,209],"have":[20],"emerged":[21],"that":[22,44,120,208],"provide":[23],"valuable":[24],"insights":[25],"into":[26],"theory.":[29],"Remarkably,":[30],"a":[31,41,46,146,177],"fundamental":[32],"assumption":[33],"remains":[34],"incomprehensible.":[35],"Variational":[36],"bayes-based":[37,160],"typically":[39],"employ":[40],"posterior":[42,79,189],"distribution":[43,48,190,195],"follows":[45],"gaussian":[47,179],"approximate":[50],"the":[51,56,78,95,155,167,184,188,192,198],"unknown":[52,193],"prior":[53],"distribution.":[54,80,180],"However,":[55],"complexity":[57],"and":[58,84,90,101,108,128,172,191],"irregularity":[59],"of":[60,72,98,157,200],"node":[61],"distributions":[62],"real-world":[64],"networks":[65],"prompt":[66],"us":[67],"consider":[69],"what":[70],"characteristics":[71],"network":[73],"information":[74],"are":[75,135],"suitable":[76],"for":[77],"Mathematically,":[81],"inappropriate":[82],"low-":[83],"high-frequency":[85,130],"signals":[86,124,131,169],"expectation":[88,126,171],"inference":[89,92,127,134,174],"variance":[91,133,173],"can":[93],"intensify":[94],"adverse":[96],"effects":[97],"distortion":[100],"ambiguity.":[102],"To":[103],"analysis":[104],"these":[105,140],"two":[106,141],"phenomena":[107],"propose":[109],"reasonable":[110],"countermeasures,":[111],"we":[112,165],"conduct":[113],"an":[114],"empirical":[115],"study.":[116],"It":[117],"is":[118],"found":[119],"appropriately":[121],"compressing":[122],"low-frequency":[123],"during":[125,132,170],"amplifying":[129],"effective":[136],"strategies.":[137],"Based":[138],"strategies,":[142],"this":[143],"paper":[144],"proposes":[145],"novel":[147],"plug-in,":[150],"namely":[151],"VBPG,":[152],"boost":[154],"performance":[156,214],"existing":[158,201],"detection":[162],"methods.":[163,202],"Specifically,":[164],"modulate":[166],"frequency":[168],"generate":[176],"new":[178],"This":[181],"strategy":[182],"improves":[183],"fitting":[185],"accuracy":[186],"between":[187],"true":[194],"without":[196],"altering":[197],"modules":[199],"The":[203],"comprehensive":[204],"experimental":[205],"results":[206],"validate":[207],"using":[210],"VBPG":[211],"achieve":[212],"competitive":[213],"improvements":[215],"most":[217],"cases.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}