{"id":"https://openalex.org/W4417334949","doi":"https://doi.org/10.1016/j.knosys.2025.115130","title":"Topological and semantic contrastive graph clustering by Ricci curvature augmentation and hypergraph fusion","display_name":"Topological and semantic contrastive graph clustering by Ricci curvature augmentation and hypergraph fusion","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W4417334949","doi":"https://doi.org/10.1016/j.knosys.2025.115130"},"language":"en","primary_location":{"id":"doi:10.1016/j.knosys.2025.115130","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.knosys.2025.115130","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.knosys.2025.115130","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064864952","display_name":"Dehua Peng","orcid":"https://orcid.org/0000-0002-9842-0796"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dehua Peng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9842-0796","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111128396","display_name":"G. Fang","orcid":"https://orcid.org/0009-0000-5987-5125"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guangyao Fang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0000-5987-5125","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087201008","display_name":"Zhipeng Gui","orcid":"https://orcid.org/0000-0001-9467-9680"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhipeng Gui","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9467-9680","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yuhang Liu","orcid":"https://orcid.org/0009-0009-3928-418X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuhang Liu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0009-3928-418X","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030670883","display_name":"Huayi Wu","orcid":"https://orcid.org/0000-0003-3971-0512"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huayi Wu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3971-0512","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5087201008"],"corresponding_institution_ids":[],"apc_list":{"value":3130,"currency":"USD","value_usd":3130},"apc_paid":{"value":3130,"currency":"USD","value_usd":3130},"fwci":0.8854,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82660887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"334","issue":null,"first_page":"115130","last_page":"115130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.47119998931884766,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.47119998931884766,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.3091999888420105,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.08070000261068344,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/hypergraph","display_name":"Hypergraph","score":0.5953999757766724},{"id":"https://openalex.org/keywords/ricci-curvature","display_name":"Ricci curvature","score":0.5322999954223633},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4921000003814697},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4788999855518341},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4309999942779541},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.4146000146865845},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.33219999074935913}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.5953999757766724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5885999798774719},{"id":"https://openalex.org/C12089564","wikidata":"https://www.wikidata.org/wiki/Q1195879","display_name":"Ricci curvature","level":3,"score":0.5322999954223633},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4921000003814697},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4788999855518341},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4309999942779541},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4146000146865845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37389999628067017},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.35089999437332153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3343000113964081},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3181000053882599},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31299999356269836},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26969999074935913},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C157406716","wikidata":"https://www.wikidata.org/wiki/Q4115842","display_name":"Topological graph theory","level":5,"score":0.2644999921321869},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2612000107765198}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.knosys.2025.115130","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.knosys.2025.115130","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.knosys.2025.115130","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.knosys.2025.115130","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2586701105","display_name":null,"funder_award_id":"42501573","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2646707819","display_name":null,"funder_award_id":"2042024kf0005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4234489621","display_name":null,"funder_award_id":"2025M770345","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7262200783","display_name":null,"funder_award_id":"BX20250084","funder_id":"https://openalex.org/F4320335768","funder_display_name":"National Postdoctoral Program for Innovative Talents"},{"id":"https://openalex.org/G7630057476","display_name":null,"funder_award_id":"42571496","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7891852649","display_name":null,"funder_award_id":"42090011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8812587783","display_name":null,"funder_award_id":"2042025kf0084","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320328119","display_name":"National University's Basic Research Foundation of China","ror":null},{"id":"https://openalex.org/F4320335768","display_name":"National Postdoctoral Program for Innovative Talents","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W143174683","https://openalex.org/W2000124739","https://openalex.org/W2050511892","https://openalex.org/W2087667141","https://openalex.org/W2100495367","https://openalex.org/W2121947440","https://openalex.org/W2125531986","https://openalex.org/W2132603077","https://openalex.org/W2954365303","https://openalex.org/W2963036753","https://openalex.org/W2964732194","https://openalex.org/W2972209102","https://openalex.org/W3101413764","https://openalex.org/W3190214286","https://openalex.org/W4205883350","https://openalex.org/W4220865641","https://openalex.org/W4295996379","https://openalex.org/W4312619307","https://openalex.org/W4321483883","https://openalex.org/W4367359660","https://openalex.org/W4385290926","https://openalex.org/W4387026766","https://openalex.org/W4388081873","https://openalex.org/W4388968015","https://openalex.org/W4392887604","https://openalex.org/W4393282786","https://openalex.org/W4393388622","https://openalex.org/W4396669897","https://openalex.org/W4396793105","https://openalex.org/W4400391364","https://openalex.org/W4400944807","https://openalex.org/W4401930369","https://openalex.org/W4402332715","https://openalex.org/W4402665989","https://openalex.org/W4403541608","https://openalex.org/W4405902879","https://openalex.org/W4405963873","https://openalex.org/W4408017280","https://openalex.org/W4408514889","https://openalex.org/W4414099411"],"related_works":[],"abstract_inverted_index":{"Contrastive":[0,82],"graph":[1,15,35,48,52,98,174],"clustering":[2,178,201],"is":[3,168,264],"an":[4],"advanced":[5],"technology":[6],"in":[7,235,253],"the":[8,24,58,68,104,124,137,144,159,172,186,191,195,209,215,229,246],"field":[9],"of":[10,26,46,88,146,161,197,211,217,232],"cluster":[11,59,105,155],"analysis.":[12],"By":[13],"leveraging":[14],"neural":[16],"networks":[17,119],"and":[18,29,39,61,80,107,116,139,214,249,258],"contrastive":[19,47,132],"learning":[20,90,94,133,166],"paradigm,":[21],"it":[22,149],"enables":[23],"coupling":[25],"topological":[27,138],"structure":[28],"node":[30,260],"semantic":[31,140],"information":[32],"for":[33],"attributed":[34],"networks.":[36,206],"Graph":[37,83,115],"augmentation":[38,53],"positive":[40,63,162],"sample":[41,64,71],"selection":[42,160],"are":[43,120,180],"two":[44],"essentials":[45],"clustering.":[49],"However,":[50],"existing":[51],"methods":[54],"tend":[55],"to":[56,102,111,122,135,152,157,170,227],"disrupt":[57],"structures,":[60],"most":[62],"selectors":[65],"suffer":[66],"from":[67],"false":[69,147],"negative":[70],"problem.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76,128],"propose":[77],"a":[78,130],"Topological":[79],"Semantic":[81],"Clustering":[84],"(TSCGC)":[85],"model":[86],"consisting":[87],"three":[89,173],"components.":[91],"The":[92,164,176,262],"representation":[93],"component":[95,134,167],"augments":[96],"original":[97],"using":[99],"Ricci":[100],"curvature":[101],"preserve":[103],"structure,":[106],"introduces":[108],"hypergraph":[109,117],"view":[110],"capture":[112],"high-order":[113],"relationships.":[114],"convolutional":[118],"used":[121],"encode":[123],"triple-view":[125],"embeddings.":[126,188],"Meanwhile,":[127],"develop":[129],"dual":[131],"extract":[136],"information.":[141],"To":[142],"reduce":[143],"number":[145],"negatives,":[148],"utilizes":[150],"K-means":[151,184],"generate":[153],"pseudo":[154],"labels":[156],"guide":[158],"samples.":[163],"self-supervised":[165],"leveraged":[169],"align":[171],"views.":[175],"final":[177],"results":[179],"obtained":[181],"by":[182,193],"performing":[183],"on":[185,203,240],"aligned":[187],"We":[189,223],"demonstrated":[190],"effectiveness":[192],"comparing":[194],"performance":[196],"TSCGC":[198,226],"with":[199],"13":[200],"baselines":[202],"six":[204],"real-world":[205],"Ablations":[207],"verified":[208],"validity":[210],"key":[212],"components":[213],"impact":[216],"parameter":[218],"settings":[219],"were":[220],"also":[221],"analyzed.":[222],"further":[224],"applied":[225],"identify":[228],"function":[230],"types":[231],"10,370":[233],"buildings":[234],"ShenZhen":[236],"City,":[237],"China":[238],"based":[239],"multi-source":[241],"geospatial":[242],"data.":[243],"It":[244],"achieved":[245],"highest":[247],"accuracy":[248],"exhibit":[250],"significant":[251],"potential":[252],"handling":[254],"complex":[255],"network":[256],"structures":[257],"high-dimensional":[259],"features.":[261],"code":[263],"available":[265],"at:":[266],"https://github.com/ZPGuiGroupWhu/TSCGC":[267],".":[268]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-12-15T00:00:00"}