{"id":"https://openalex.org/W7152468539","doi":"https://doi.org/10.1145/3774904.3792559","title":"Structure-Semantic Synergized Deep Contrastive Graph Clustering","display_name":"Structure-Semantic Synergized Deep Contrastive Graph Clustering","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7152468539","doi":"https://doi.org/10.1145/3774904.3792559"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792559","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792559","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792559","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082274996","display_name":"Shifei Ding","orcid":"https://orcid.org/0000-0002-1391-2717"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifei Ding","raw_affiliation_strings":["School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, XuZhou, China, Mine Digitization Engineering Research Center of the Ministry of Education, XuZhou, China, and Jiangsu Provincial Industrial Technology Engineering Center for Intelligent Sensing and Emergency IoT in Underground Space, XuZhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1391-2717","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, XuZhou, China, Mine Digitization Engineering Research Center of the Ministry of Education, XuZhou, China, and Jiangsu Provincial Industrial Technology Engineering Center for Intelligent Sensing and Emergency IoT in Underground Space, XuZhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133239142","display_name":"Zhe Li","orcid":"https://orcid.org/0009-0002-1692-6783"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Li","raw_affiliation_strings":["School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, XuZhou, China"],"raw_orcid":"https://orcid.org/0009-0002-1692-6783","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, XuZhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiao Xu","orcid":"https://orcid.org/0000-0003-2888-7451"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Xu","raw_affiliation_strings":["School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, XuZhou, China, Mine Digitization Engineering Research Center of the Ministry of Education, XuZhou, China, and Jiangsu Provincial Industrial Technology Engineering Center for Intelligent Sensing and Emergency IoT in Underground Space, XuZhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2888-7451","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, XuZhou, China, Mine Digitization Engineering Research Center of the Ministry of Education, XuZhou, China, and Jiangsu Provincial Industrial Technology Engineering Center for Intelligent Sensing and Emergency IoT in Underground Space, XuZhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103173765","display_name":"Chao Li","orcid":"https://orcid.org/0000-0001-9119-5744"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, XuZhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9119-5744","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, XuZhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46332763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1377","last_page":"1385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.6761000156402588,"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":0.6761000156402588,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.039400000125169754,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.0364999994635582,"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/cluster-analysis","display_name":"Cluster analysis","score":0.4921000003814697},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4275999963283539},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3181999921798706},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.2825999855995178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2603999972343445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467999815940857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5264000296592712},{"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":0.4275999963283539},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.265500009059906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26019999384880066},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2533000111579895},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792559","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792559","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792559","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792559","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1977556410","https://openalex.org/W1992419399","https://openalex.org/W2153233077","https://openalex.org/W2767404761","https://openalex.org/W2767849480","https://openalex.org/W2964732194","https://openalex.org/W2966502719","https://openalex.org/W2972209102","https://openalex.org/W3004946360","https://openalex.org/W3040213512","https://openalex.org/W3185513611","https://openalex.org/W3211858897","https://openalex.org/W4225006193","https://openalex.org/W4226190109","https://openalex.org/W4226219101","https://openalex.org/W4285603626","https://openalex.org/W4288073539","https://openalex.org/W4362691848","https://openalex.org/W4376865402","https://openalex.org/W4382203265","https://openalex.org/W4382318469","https://openalex.org/W4382466430","https://openalex.org/W4385307020","https://openalex.org/W4400112989","https://openalex.org/W4400315096"],"related_works":[],"abstract_inverted_index":{"Current":[0],"contrastive":[1,75],"graph":[2],"clustering":[3,145],"approaches":[4],"suffer":[5],"from":[6,103],"insufficient":[7],"integration":[8],"of":[9,18,139],"structural":[10,69,104],"and":[11,45,86,131],"semantic":[12,46,73,106],"information,":[13],"coupled":[14],"with":[15],"the":[16,136],"absence":[17],"reliable":[19],"sample":[20],"selection":[21],"strategies.":[22],"To":[23],"address":[24],"these":[25,110],"dual":[26],"limitations,":[27],"we":[28],"introduce":[29],"Structure-Semantic":[30],"Synergized":[31],"Deep":[32],"Contrastive":[33],"Graph":[34],"Clustering":[35],"(S\u00b3-DCGC),":[36],"a":[37,53,72,96],"novel":[38],"framework":[39],"that":[40,99],"jointly":[41],"models":[42],"topological":[43],"structure":[44],"features":[47],"through":[48],"two":[49],"synergistic":[50],"mechanisms.":[51],"First,":[52],"structure-aware":[54],"curriculum":[55],"negative":[56,62],"sampling":[57],"strategy":[58,98],"progressively":[59],"identifies":[60],"hard":[61],"samples":[63],"using":[64],"dynamic-range":[65],"masking,":[66],"enhancing":[67],"discriminative":[68],"learning.":[70],"Second,":[71],"confidence-guided":[74],"mechanism":[76],"quantifies":[77],"node":[78],"reliability":[79],"via":[80],"composite":[81],"confidence":[82],"scores\u2014integrating":[83],"cluster":[84],"affinity":[85],"cross-view":[87],"consistency\u2014to":[88],"select":[89],"high-confidence":[90],"positive/negative":[91],"pairs.":[92],"Dynamically":[93],"coordinated":[94],"by":[95],"soft-alignment":[97],"shifts":[100],"optimization":[101],"focus":[102],"to":[105],"dominance":[107],"during":[108],"training,":[109],"components":[111],"achieve":[112],"balanced":[113],"synergy.":[114],"Comprehensive":[115],"experiments":[116],"conducted":[117],"on":[118],"five":[119],"benchmark":[120],"datasets":[121],"demonstrate":[122],"S\u00b3-DCGC's":[123],"superiority,":[124],"achieving":[125,143],"significant":[126],"performance":[127],"gains.":[128],"Ablation":[129],"studies":[130],"visual":[132],"analyses":[133],"further":[134],"corroborate":[135],"critical":[137],"importance":[138],"structure-semantic":[140],"synergy":[141],"in":[142],"robust":[144],"performance.":[146]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-04-10T00:00:00"}