{"id":"https://openalex.org/W4289655275","doi":"https://doi.org/10.1109/isit50566.2022.9834685","title":"Graph-assisted Matrix Completion in a Multi-clustered Graph Model","display_name":"Graph-assisted Matrix Completion in a Multi-clustered Graph Model","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655275","doi":"https://doi.org/10.1109/isit50566.2022.9834685"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834685","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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/A5077919927","display_name":"Geewon Suh","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":true,"raw_author_name":"Geewon Suh","raw_affiliation_strings":["KAIST,EE","EE, KAIST"],"affiliations":[{"raw_affiliation_string":"KAIST,EE","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]},{"raw_affiliation_string":"EE, KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003738785","display_name":"Changho Suh","orcid":"https://orcid.org/0000-0002-3101-4291"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210099236","display_name":"Kootenay Association for Science & Technology","ror":"https://ror.org/011pv9p44","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210099236"]}],"countries":["CA","KR"],"is_corresponding":false,"raw_author_name":"Changho Suh","raw_affiliation_strings":["KAIST,EE","EE, KAIST"],"affiliations":[{"raw_affiliation_string":"KAIST,EE","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]},{"raw_affiliation_string":"EE, KAIST","institution_ids":["https://openalex.org/I4210099236","https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077919927"],"corresponding_institution_ids":["https://openalex.org/I157485424","https://openalex.org/I4210099236"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12664165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3156","last_page":"3161"},"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":0.9987999796867371,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6657559275627136},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6483774185180664},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5530598163604736},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.535968542098999},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5290262699127197},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5273460149765015},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44740867614746094},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3825567662715912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19739866256713867}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6657559275627136},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6483774185180664},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5530598163604736},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.535968542098999},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5290262699127197},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5273460149765015},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44740867614746094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3825567662715912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19739866256713867},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834685","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W45952787","https://openalex.org/W76415408","https://openalex.org/W1973812756","https://openalex.org/W1994389483","https://openalex.org/W2039613841","https://openalex.org/W2047071281","https://openalex.org/W2051638434","https://openalex.org/W2073235443","https://openalex.org/W2084527756","https://openalex.org/W2103972604","https://openalex.org/W2108119513","https://openalex.org/W2127218421","https://openalex.org/W2132572278","https://openalex.org/W2134332047","https://openalex.org/W2137945041","https://openalex.org/W2138825227","https://openalex.org/W2144487656","https://openalex.org/W2144730813","https://openalex.org/W2150256170","https://openalex.org/W2152284345","https://openalex.org/W2158923808","https://openalex.org/W2219655028","https://openalex.org/W2244405900","https://openalex.org/W2412340996","https://openalex.org/W2610153490","https://openalex.org/W2611328865","https://openalex.org/W2657299459","https://openalex.org/W2891886048","https://openalex.org/W2912792453","https://openalex.org/W2957946950","https://openalex.org/W2962797944","https://openalex.org/W2962963658","https://openalex.org/W2963660540","https://openalex.org/W2963836110","https://openalex.org/W2963974511","https://openalex.org/W2964066048","https://openalex.org/W2964211741","https://openalex.org/W2964298148","https://openalex.org/W3012416884","https://openalex.org/W3034148639","https://openalex.org/W3036859713","https://openalex.org/W3100144903","https://openalex.org/W3104431711","https://openalex.org/W3197871027","https://openalex.org/W4285175206","https://openalex.org/W6603064305","https://openalex.org/W6641171924","https://openalex.org/W6676321539","https://openalex.org/W6678914141","https://openalex.org/W6679537078","https://openalex.org/W6680549645","https://openalex.org/W6693739368","https://openalex.org/W6715131512","https://openalex.org/W6737558694","https://openalex.org/W6739519303","https://openalex.org/W6754390637","https://openalex.org/W6766004936","https://openalex.org/W6766301470","https://openalex.org/W6775646925","https://openalex.org/W6786055384","https://openalex.org/W6839747180"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"We":[0,13],"consider":[1],"a":[2,15,46],"matrix":[3,66],"completion":[4],"problem":[5],"that":[6,19,85,91],"exploits":[7],"social":[8],"graph":[9,30,64,93],"as":[10,81,83],"side":[11,94],"information.":[12,95],"develop":[14],"computationally":[16],"efficient":[17],"algorithm":[18,87],"achieves":[20],"the":[21,26,33,51,55,60],"optimal":[22],"sample":[23],"complexity":[24],"for":[25],"entire":[27],"regime":[28],"of":[29],"information":[31,52],"under":[32],"multiple":[34],"cluster":[35],"setting":[36],"(to":[37],"be":[38],"detailed).":[39],"The":[40],"key":[41],"idea":[42],"is":[43],"to":[44],"incorporate":[45],"switching":[47],"mechanism":[48],"which":[49],"selects":[50],"employed":[53],"in":[54],"first":[56],"clustering":[57],"step,":[58],"between":[59],"following":[61],"two":[62],"types:":[63],"&":[65],"ratings.":[67],"Our":[68],"experimental":[69],"results":[70],"on":[71],"both":[72],"synthetic":[73],"and":[74],"real":[75],"data":[76],"corroborate":[77],"our":[78,86],"theoretical":[79],"result":[80],"well":[82],"demonstrate":[84],"outperforms":[88],"prior":[89],"algorithms":[90],"leverage":[92]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}