{"id":"https://openalex.org/W4409670755","doi":"https://doi.org/10.1145/3696410.3714652","title":"Diffusion-based Graph-agnostic Clustering","display_name":"Diffusion-based Graph-agnostic Clustering","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409670755","doi":"https://doi.org/10.1145/3696410.3714652"},"language":"en","primary_location":{"id":"doi:10.1145/3696410.3714652","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714652","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714652","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 on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714652","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077536005","display_name":"Kun Xie","orcid":"https://orcid.org/0009-0000-8921-5531"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Xie","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040420455","display_name":"Renchi Yang","orcid":"https://orcid.org/0000-0002-7284-3096"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Renchi Yang","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100736050","display_name":"Sibo Wang","orcid":"https://orcid.org/0000-0003-1892-6971"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sibo Wang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077536005"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":1.4222,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81089017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1353","last_page":"1364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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/T10637","display_name":"Advanced Clustering Algorithms Research","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6693251132965088},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6015791296958923},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4903118908405304},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.45063796639442444},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36039912700653076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24469155073165894},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11628249287605286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6693251132965088},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6015791296958923},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4903118908405304},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.45063796639442444},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36039912700653076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24469155073165894},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11628249287605286},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3696410.3714652","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714652","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714652","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 on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3696410.3714652","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3696410.3714652","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3696410.3714652","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 on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409670755.pdf","grobid_xml":"https://content.openalex.org/works/W4409670755.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1975172027","https://openalex.org/W2016273060","https://openalex.org/W2022322548","https://openalex.org/W2069153192","https://openalex.org/W2121947440","https://openalex.org/W2124536061","https://openalex.org/W2125531986","https://openalex.org/W2132202037","https://openalex.org/W2187089797","https://openalex.org/W2576295605","https://openalex.org/W2743489687","https://openalex.org/W2767404761","https://openalex.org/W2798692470","https://openalex.org/W2798991696","https://openalex.org/W2809156873","https://openalex.org/W2964012239","https://openalex.org/W2970971581","https://openalex.org/W2979446478","https://openalex.org/W2982171596","https://openalex.org/W3007332492","https://openalex.org/W3007813770","https://openalex.org/W3040213512","https://openalex.org/W3045237327","https://openalex.org/W3101444938","https://openalex.org/W3104425534","https://openalex.org/W3114928288","https://openalex.org/W3126391297","https://openalex.org/W3128443161","https://openalex.org/W3133518153","https://openalex.org/W3152560880","https://openalex.org/W3160872503","https://openalex.org/W3168735469","https://openalex.org/W3175164304","https://openalex.org/W3185513611","https://openalex.org/W3208180646","https://openalex.org/W3210562436","https://openalex.org/W4206051415","https://openalex.org/W4212937970","https://openalex.org/W4213136259","https://openalex.org/W4221095033","https://openalex.org/W4221166060","https://openalex.org/W4226296494","https://openalex.org/W4283076536","https://openalex.org/W4287829537","https://openalex.org/W4290876361","https://openalex.org/W4295312788","https://openalex.org/W4306317405","https://openalex.org/W4310432796","https://openalex.org/W4372283128","https://openalex.org/W4380433145","https://openalex.org/W4380433272","https://openalex.org/W4381329639","https://openalex.org/W4382203265","https://openalex.org/W4382466430","https://openalex.org/W4385562704","https://openalex.org/W4387848840","https://openalex.org/W4393212306","https://openalex.org/W4395447433","https://openalex.org/W4396758656","https://openalex.org/W4403323657","https://openalex.org/W6600281463","https://openalex.org/W6601760687"],"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":{"Clustering":[0],"over":[1],"a":[2],"graph":[3,51,59,68],"seeks":[4],"to":[5],"partition":[6],"the":[7,17,47,77,81],"nodes":[8,15],"therein":[9],"into":[10],"disjoint":[11],"groups":[12],"such":[13,57],"that":[14],"within":[16],"same":[18],"cluster":[19],"are":[20,26,34,41,100],"tightly-knit,":[21],"while":[22],"those":[23],"across":[24],"clusters":[25],"distant":[27],"from":[28],"each":[29],"other.":[30],"In":[31],"practice,":[32],"graphs":[33,90],"often":[35],"attended":[36],"with":[37],"rich":[38],"attributes,":[39],"which":[40,99],"termed":[42],"attributed":[43],"graphs.":[44],"By":[45],"leveraging":[46],"complementary":[48],"nature":[49],"of":[50,80],"topology":[52],"and":[53,84,91],"node":[54],"attributes":[55],"in":[56,67,103],"graphs,":[58],"neural":[60],"networks":[61],"(GNNs)":[62],"have":[63],"obtained":[64],"encouraging":[65],"performance":[66],"clustering.":[69],"However,":[70],"existing":[71],"GNN-based":[72],"approaches":[73],"strongly":[74],"rely":[75],"on":[76,88],"homophilic":[78],"assumption":[79],"input":[82],"graph,":[83],"thus,":[85],"largely":[86],"fail":[87],"heterophilic":[89],"others":[92],"embodying":[93],"numerous":[94],"missing":[95],"or":[96],"noisy":[97],"links,":[98],"widely":[101],"present":[102],"real":[104],"life.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
