{"id":"https://openalex.org/W4382203265","doi":"https://doi.org/10.1109/tnnls.2023.3271871","title":"Simple Contrastive Graph Clustering","display_name":"Simple Contrastive Graph Clustering","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W4382203265","doi":"https://doi.org/10.1109/tnnls.2023.3271871","pmid":"https://pubmed.ncbi.nlm.nih.gov/37368805"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3271871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3271871","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100320103","display_name":"Yue Liu","orcid":"https://orcid.org/0000-0002-9894-0062"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103088081","display_name":"Xihong Yang","orcid":"https://orcid.org/0000-0002-3260-869X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xihong Yang","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3260-869X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032131582","display_name":"Sihang Zhou","orcid":"https://orcid.org/0000-0003-1491-4594"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sihang Zhou","raw_affiliation_strings":["College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1491-4594","affiliations":[{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9066-1475","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656645","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0001-9517-262X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9517-262X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009525613","display_name":"Ke Liang","orcid":"https://orcid.org/0000-0002-4837-455X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liang","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085607536","display_name":"Wenxuan Tu","orcid":"https://orcid.org/0000-0002-1353-2968"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxuan Tu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-1353-2968","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050332169","display_name":"Liang Li","orcid":"https://orcid.org/0000-0002-8116-0668"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Li","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-8116-0668","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":23.3144,"has_fulltext":false,"cited_by_count":177,"citation_normalized_percentile":{"value":0.99693161,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"35","issue":"10","first_page":"13789","last_page":"13800"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7705214023590088},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6681729555130005},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5162994265556335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5025455951690674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5016388893127441},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.449001669883728},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4482088088989258},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3445016145706177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33333683013916016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3311839699745178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7705214023590088},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6681729555130005},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5162994265556335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5025455951690674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5016388893127441},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.449001669883728},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4482088088989258},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3445016145706177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33333683013916016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3311839699745178}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3271871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3271871","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37368805","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37368805","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6800000071525574,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4321979597","display_name":null,"funder_award_id":"62006237","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6643592684","display_name":null,"funder_award_id":"61773392","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6882220406","display_name":null,"funder_award_id":"61906020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7472951861","display_name":null,"funder_award_id":"2020AAA0107100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8266900483","display_name":null,"funder_award_id":"61922088","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":102,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1977556410","https://openalex.org/W2079017595","https://openalex.org/W2132914434","https://openalex.org/W2187089797","https://openalex.org/W2741943936","https://openalex.org/W2767404761","https://openalex.org/W2767849480","https://openalex.org/W2800791174","https://openalex.org/W2804847616","https://openalex.org/W2808409763","https://openalex.org/W2842511635","https://openalex.org/W2954752948","https://openalex.org/W2963169753","https://openalex.org/W2964051675","https://openalex.org/W2964732194","https://openalex.org/W2966028836","https://openalex.org/W2966502719","https://openalex.org/W2972209102","https://openalex.org/W2981450816","https://openalex.org/W3004946360","https://openalex.org/W3034349864","https://openalex.org/W3034903580","https://openalex.org/W3035060554","https://openalex.org/W3040213512","https://openalex.org/W3046403349","https://openalex.org/W3081203761","https://openalex.org/W3092771422","https://openalex.org/W3092802919","https://openalex.org/W3095746859","https://openalex.org/W3101709902","https://openalex.org/W3103921434","https://openalex.org/W3104425534","https://openalex.org/W3124962940","https://openalex.org/W3134652006","https://openalex.org/W3136526008","https://openalex.org/W3154503084","https://openalex.org/W3169317859","https://openalex.org/W3173292968","https://openalex.org/W3173294575","https://openalex.org/W3181419498","https://openalex.org/W3185513611","https://openalex.org/W3188916965","https://openalex.org/W3193704170","https://openalex.org/W3195415198","https://openalex.org/W3206855510","https://openalex.org/W3207379368","https://openalex.org/W3207955703","https://openalex.org/W3210242454","https://openalex.org/W3211961572","https://openalex.org/W4214510096","https://openalex.org/W4221023051","https://openalex.org/W4221152131","https://openalex.org/W4225674624","https://openalex.org/W4225825060","https://openalex.org/W4226190109","https://openalex.org/W4226219101","https://openalex.org/W4226247874","https://openalex.org/W4226328150","https://openalex.org/W4280547572","https://openalex.org/W4283796586","https://openalex.org/W4283815719","https://openalex.org/W4283827931","https://openalex.org/W4284965547","https://openalex.org/W4285483676","https://openalex.org/W4287125566","https://openalex.org/W4297733535","https://openalex.org/W4297808394","https://openalex.org/W4307010406","https://openalex.org/W4311550910","https://openalex.org/W4319068889","https://openalex.org/W4322614756","https://openalex.org/W4382466430","https://openalex.org/W4385245566","https://openalex.org/W4391547592","https://openalex.org/W6631190155","https://openalex.org/W6644682428","https://openalex.org/W6685380521","https://openalex.org/W6726873649","https://openalex.org/W6728550200","https://openalex.org/W6730084236","https://openalex.org/W6754278344","https://openalex.org/W6755573351","https://openalex.org/W6760001035","https://openalex.org/W6779326418","https://openalex.org/W6779518175","https://openalex.org/W6784694379","https://openalex.org/W6789174757","https://openalex.org/W6791742336","https://openalex.org/W6796370022","https://openalex.org/W6796694783","https://openalex.org/W6797926237","https://openalex.org/W6798744382","https://openalex.org/W6802884933","https://openalex.org/W6803712156","https://openalex.org/W6803865595","https://openalex.org/W6810339848","https://openalex.org/W6810782742","https://openalex.org/W6810905895","https://openalex.org/W6846557391","https://openalex.org/W6847371435","https://openalex.org/W6851437793"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2397288865","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2368524271","https://openalex.org/W1629127207"],"abstract_inverted_index":{"Contrastive":[0],"learning":[1],"has":[2],"recently":[3],"attracted":[4],"plenty":[5],"of":[6,29,53,105,116,158,196,207],"attention":[7],"in":[8],"deep":[9,183,208],"graph":[10,23,41,209],"clustering":[11,42,142,184],"due":[12],"to":[13,45,62,134,138,153],"its":[14],"promising":[15],"performance.":[16],"However,":[17],"complicated":[18],"data":[19,56,102],"augmentations":[20],"and":[21,58,74,90,126,174,214],"time-consuming":[22],"convolutional":[24],"operations":[25,108],"undermine":[26],"the":[27,47,51,63,99,117,128,135,141,155,159,180],"efficiency":[28],"these":[30],"methods.":[31],"To":[32],"solve":[33],"this":[34],"problem,":[35],"we":[36,111,203],"propose":[37],"a":[38,144,205],"simple":[39,78],"contrastive":[40,182],"(SCGC)":[43],"algorithm":[44,178],"improve":[46,140],"existing":[48],"methods":[49],"from":[50],"perspectives":[52],"network":[54,66,75],"architecture,":[55,64],"augmentation,":[57,103],"objective":[59,136,149],"function.":[60],"As":[61],"our":[65,170,177],"includes":[67],"two":[68,92,113],"main":[69],"parts,":[70],"that":[71],"is,":[72],"preprocessing":[73],"backbone.":[76,100],"A":[77],"low-pass":[79],"denoising":[80],"operation":[81],"conducts":[82],"neighbor":[83],"information":[84],"aggregation":[85],"as":[86,98,133],"an":[87],"independent":[88],"preprocessing,":[89],"only":[91],"multilayer":[93],"perceptrons":[94],"(MLPs)":[95],"are":[96],"included":[97],"For":[101],"instead":[104],"introducing":[106],"complex":[107],"over":[109],"graphs,":[110],"construct":[112],"augmented":[114],"views":[115],"same":[118],"vertex":[119],"by":[120],"designing":[121],"parameter":[122],"unshared":[123],"Siamese":[124],"encoders":[125],"perturbing":[127],"node":[129],"embeddings":[130],"directly.":[131],"Finally,":[132],"function,":[137],"further":[139],"performance,":[143],"novel":[145],"cross-view":[146],"structural":[147],"consistency":[148],"function":[150],"is":[151,198],"designed":[152],"enhance":[154],"discriminative":[156],"capability":[157],"learned":[160],"network.":[161],"Extensive":[162],"experimental":[163],"results":[164],"on":[165,192],"seven":[166,189],"benchmark":[167],"datasets":[168,215],"validate":[169],"proposed":[171],"algorithm's":[172],"effectiveness":[173],"superiority.":[175],"Significantly,":[176],"outperforms":[179],"recent":[181],"competitors":[185],"with":[186],"at":[187,200,216],"least":[188],"times":[190],"speedup":[191],"average.":[193],"The":[194],"code":[195],"SCGC":[197],"released":[199],"SCGC.":[201],"Besides,":[202],"share":[204],"collection":[206],"clustering,":[210],"including":[211],"papers,":[212],"codes,":[213],"ADGC.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":27},{"year":2025,"cited_by_count":67},{"year":2024,"cited_by_count":58},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}