{"id":"https://openalex.org/W3208855190","doi":"https://doi.org/10.1145/3459637.3482437","title":"HyperGraph Convolution Based Attributed HyperGraph Clustering","display_name":"HyperGraph Convolution Based Attributed HyperGraph Clustering","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3208855190","doi":"https://doi.org/10.1145/3459637.3482437","mag":"3208855190"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482437","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5077157719","display_name":"Barakeel Fanseu Kamhoua","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Barakeel Fanseu Kamhoua","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/A5100351772","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0001-5151-9273"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037310520","display_name":"Kaili Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kaili Ma","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/A5016082884","display_name":"James Cheng","orcid":"https://orcid.org/0000-0001-6313-6288"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"James Cheng","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/A5100374364","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-7500-8355"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047240103","display_name":"Bo Han","orcid":"https://orcid.org/0000-0002-6338-0958"},"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":"Bo Han","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077157719"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.8158,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78602873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"453","last_page":"463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9993000030517578,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9904000163078308,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7616733908653259},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.7416559457778931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6322067975997925},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5912739038467407},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5575696229934692},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4542030990123749},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43423330783843994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36056602001190186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32329225540161133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3216474652290344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29858705401420593},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.16912803053855896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0656592845916748}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7616733908653259},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7416559457778931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6322067975997925},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5912739038467407},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5575696229934692},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4542030990123749},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43423330783843994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36056602001190186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32329225540161133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3216474652290344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29858705401420593},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.16912803053855896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0656592845916748}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3459637.3482437","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-114832","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2021&rft.spage=453&rft.aulast=Fanseu+Kamhoua&rft.aufirst=&rft.atitle=HyperGraph+Convolution+Based+Attributed+HyperGraph+Clustering&rft.title=International+Conference+on+Information+and+Knowledge+Management%2C+Proceedings","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-114832","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-114832","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W201974436","https://openalex.org/W1504886279","https://openalex.org/W1986007546","https://openalex.org/W2044400205","https://openalex.org/W2066639978","https://openalex.org/W2101491865","https://openalex.org/W2106545428","https://openalex.org/W2108119513","https://openalex.org/W2111315907","https://openalex.org/W2121947440","https://openalex.org/W2122799790","https://openalex.org/W2132914434","https://openalex.org/W2135957668","https://openalex.org/W2154851992","https://openalex.org/W2186482614","https://openalex.org/W2299467264","https://openalex.org/W2624431344","https://openalex.org/W2767404761","https://openalex.org/W2798339053","https://openalex.org/W2808409763","https://openalex.org/W2808528665","https://openalex.org/W2962756421","https://openalex.org/W2963055664","https://openalex.org/W2966502719","https://openalex.org/W2979683452","https://openalex.org/W3007872411","https://openalex.org/W3035518758","https://openalex.org/W3081374773","https://openalex.org/W3104097132"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W3138003926","https://openalex.org/W4300037846","https://openalex.org/W1630514295","https://openalex.org/W1537073411","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W4288275998","https://openalex.org/W2472555608","https://openalex.org/W4214498971"],"abstract_inverted_index":{"Attributed":[0,5],"Graph":[1],"Clustering":[2,7],"(AGC)":[3],"and":[4,73,105,150,160],"Hypergraph":[6],"(AHC)":[8],"are":[9],"important":[10],"topics":[11],"in":[12,101,112],"graph":[13,27,32,45,61,92,127],"mining":[14],"with":[15,29],"many":[16],"applications.":[17],"For":[18],"AGC,":[19],"amongst":[20],"the":[21,26,42,66,74,80,102,121,134,152],"unsupervised":[22],"methods":[23],"that":[24,60,85,126],"combine":[25],"structure":[28],"node":[30,70,89,99,110],"attributes,":[31],"convolution":[33,46,62,93,128,154],"has":[34],"been":[35,52],"shown":[36],"to":[37,64,87,148,155],"achieve":[38],"impressive":[39],"results.":[40],"However,":[41],"effects":[43],"of":[44,76,136],"on":[47,146,170],"AGC":[48,147],"have":[49],"not":[50],"yet":[51],"adequately":[53],"studied.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,83,124],"show":[59,84,125],"attempts":[63],"find":[65],"best":[67],"trade-off":[68],"between":[69,98,109],"attribute":[71],"distance":[72,97,108],"number":[75,135],"inter-cluster":[77],"edges.":[78],"On":[79,120],"one":[81],"hand,":[82,123],"compared":[86],"clustering":[88,130,173],"attributes":[90,100,111],"directly,":[91],"produces":[94],"a":[95,106],"greater":[96],"same":[103],"cluster":[104],"smaller":[107],"different":[113,139],"clusters":[114],"(which":[115],"is":[116],"detrimental":[117],"for":[118,164],"clustering).":[119],"other":[122],"benefits":[129],"by":[131],"considerably":[132],"reducing":[133],"edges":[137],"among":[138],"clusters.":[140],"We":[141],"then":[142],"extend":[143],"our":[144],"result":[145],"AHC":[149],"leverage":[151],"hypergraph":[153],"propose":[156],"an":[157],"unsupervised,":[158],"fast,":[159],"memory-efficient":[161],"algorithm":[162],"(GRAC)":[163],"AHC,":[165],"which":[166],"achieves":[167],"excellent":[168],"performance":[169],"popular":[171],"supervised":[172],"measures.":[174],"\u00a9":[175],"2021":[176],"ACM.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-11-08T00:00:00"}