{"id":"https://openalex.org/W2767892721","doi":"https://doi.org/10.1145/3132847.3132909","title":"Multi-view Clustering with Graph Embedding for Connectome Analysis","display_name":"Multi-view Clustering with Graph Embedding for Connectome Analysis","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767892721","doi":"https://doi.org/10.1145/3132847.3132909","mag":"2767892721"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3132909","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and 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/A5067421575","display_name":"Guixiang Ma","orcid":"https://orcid.org/0000-0001-6144-6709"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guixiang Ma","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071709543","display_name":"Lifang He","orcid":"https://orcid.org/0000-0001-7810-9071"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lifang He","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024393012","display_name":"Chun-Ta Lu","orcid":"https://orcid.org/0000-0001-8573-4975"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-Ta Lu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088342375","display_name":"Weixiang Shao","orcid":"https://orcid.org/0000-0003-0510-379X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weixiang Shao","raw_affiliation_strings":["Google Inc, Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google Inc, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago &amp; Fudan University, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago &amp; Fudan University, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035692604","display_name":"Alex Leow","orcid":"https://orcid.org/0000-0002-5660-8651"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex D. Leow","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054654493","display_name":"Ann Ragin","orcid":"https://orcid.org/0000-0002-7275-2602"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ann B. Ragin","raw_affiliation_strings":["Northwestern University, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Chicago, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5067421575"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":3.4605,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.93301761,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9966999888420105,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7292124032974243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127865552902222},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.6936464309692383},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5614205002784729},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5301569104194641},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4703141748905182},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.4582499861717224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40210020542144775},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3347277045249939}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7292124032974243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127865552902222},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.6936464309692383},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5614205002784729},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5301569104194641},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4703141748905182},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.4582499861717224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40210020542144775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3347277045249939}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132847.3132909","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1127172264","https://openalex.org/W1500706843","https://openalex.org/W1976801265","https://openalex.org/W1985133440","https://openalex.org/W1985932255","https://openalex.org/W1995237685","https://openalex.org/W2027616263","https://openalex.org/W2047779269","https://openalex.org/W2053186076","https://openalex.org/W2058046532","https://openalex.org/W2086953401","https://openalex.org/W2097390792","https://openalex.org/W2121568632","https://openalex.org/W2131828344","https://openalex.org/W2132914434","https://openalex.org/W2136040699","https://openalex.org/W2142674578","https://openalex.org/W2146693559","https://openalex.org/W2154415691","https://openalex.org/W2156718197","https://openalex.org/W2161493176","https://openalex.org/W2166782149","https://openalex.org/W2283843691","https://openalex.org/W2387462954","https://openalex.org/W2405459681","https://openalex.org/W2510530742","https://openalex.org/W2583200575","https://openalex.org/W3148981562","https://openalex.org/W4205293427","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2912814903","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W3038102983","https://openalex.org/W2950907416","https://openalex.org/W1559483280","https://openalex.org/W2082479932","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Multi-view":[0,84],"clustering":[1,39,133,141,149],"has":[2],"become":[3],"a":[4,83],"widely":[5],"studied":[6],"problem":[7],"in":[8,37,46,50,78,192],"the":[9,24,34,41,66,69,97,109,115,131,155,160,168,184,188],"area":[10],"of":[11,23,33,68,118,187],"unsupervised":[12],"learning.":[13],"It":[14],"aims":[15],"to":[16,107],"integrate":[17],"multiple":[18,30],"views":[19],"by":[20,57,125],"taking":[21],"advantages":[22],"consensus":[25],"and":[26,103,142,159,181,199],"complimentary":[27],"information":[28],"from":[29,71],"views.":[31],"Most":[32],"existing":[35],"works":[36],"multi-view":[38,98,110,127,132,140,143,148,156,162,169,193],"utilize":[40],"vector-based":[42,61],"representation":[43],"for":[44,153,196],"features":[45],"each":[47,72],"view.":[48,73],"However,":[49],"many":[51],"real-world":[52],"applications,":[53],"instances":[54,89],"are":[55,151],"represented":[56],"graphs,":[58],"where":[59],"those":[60],"models":[62],"cannot":[63],"fully":[64],"capture":[65],"structure":[67,117],"graphs":[70],"To":[74],"solve":[75],"this":[76,79],"problem,":[77],"paper":[80],"we":[81,95],"propose":[82],"Clustering":[85],"framework":[86,124],"on":[87,135,173],"graph":[88,99,111,128,136,144,157,163],"with":[90],"Graph":[91],"Embedding":[92],"(MCGE).":[93],"Specifically,":[94],"model":[96],"data":[100],"as":[101],"tensors":[102],"apply":[104],"tensor":[105],"factorization":[106],"learn":[108],"embeddings,":[112],"thereby":[113],"capturing":[114],"local":[116],"graphs.":[119],"We":[120],"build":[121],"an":[122],"iterative":[123],"incorporating":[126],"embedding":[129,145,164],"into":[130],"task":[134],"instances,":[137],"jointly":[138],"performing":[139],"simultaneously.":[146],"The":[147],"results":[150,165],"used":[152],"refining":[154],"embedding,":[158],"updated":[161],"further":[166],"improve":[167],"clustering.":[170],"Extensive":[171],"experiments":[172],"two":[174],"real":[175],"brain":[176],"network":[177],"datasets":[178],"(i.e.,":[179],"HIV":[180],"Bipolar)":[182],"demonstrate":[183],"superior":[185],"performance":[186],"proposed":[189],"MCGE":[190],"approach":[191],"connectome":[194],"analysis":[195],"clinical":[197],"investigation":[198],"application.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
