{"id":"https://openalex.org/W3148279983","doi":"https://doi.org/10.1109/asonam49781.2020.9381475","title":"C<sup>3</sup> APTION: Constrainted Coupled CP and PARAFAC2 Tensor Decomposition","display_name":"C<sup>3</sup> APTION: Constrainted Coupled CP and PARAFAC2 Tensor Decomposition","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3148279983","doi":"https://doi.org/10.1109/asonam49781.2020.9381475","mag":"3148279983"},"language":"en","primary_location":{"id":"doi:10.1109/asonam49781.2020.9381475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5109496104","display_name":"Ekta Guiral","orcid":null},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ekta Guiral","raw_affiliation_strings":["University of California Riverside"],"affiliations":[{"raw_affiliation_string":"University of California Riverside","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066303412","display_name":"Georgios Theocharous","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios Theocharous","raw_affiliation_strings":["Adobe Research"],"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054849323","display_name":"Evangelos E. Papalexakis","orcid":"https://orcid.org/0000-0002-3411-8483"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evangelos E. Papalexakis","raw_affiliation_strings":["University of California Riverside"],"affiliations":[{"raw_affiliation_string":"University of California Riverside","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109496104"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.1401,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"401","last_page":"408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9878000020980835,"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/T11809","display_name":"Advanced NMR Techniques and Applications","score":0.9527000188827515,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6094387769699097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5766730308532715},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5644016265869141},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5146428346633911},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.48690927028656006},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4539194107055664},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.41309767961502075},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3497428894042969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34137728810310364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31312742829322815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27107322216033936},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.20511376857757568},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11949929594993591},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.1121346652507782},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09392377734184265}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6094387769699097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5766730308532715},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5644016265869141},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5146428346633911},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.48690927028656006},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4539194107055664},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.41309767961502075},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3497428894042969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34137728810310364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31312742829322815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27107322216033936},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.20511376857757568},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11949929594993591},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.1121346652507782},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09392377734184265},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam49781.2020.9381475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam49781.2020.9381475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8685228800","display_name":null,"funder_award_id":"1901379","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"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":24,"referenced_works":["https://openalex.org/W1480059945","https://openalex.org/W1561391377","https://openalex.org/W1566145868","https://openalex.org/W1632866817","https://openalex.org/W1994219736","https://openalex.org/W2000215628","https://openalex.org/W2013523842","https://openalex.org/W2024165284","https://openalex.org/W2050016299","https://openalex.org/W2076566842","https://openalex.org/W2219888463","https://openalex.org/W2299567547","https://openalex.org/W2419656545","https://openalex.org/W2440837865","https://openalex.org/W2470965540","https://openalex.org/W2800663042","https://openalex.org/W2903132576","https://openalex.org/W2905252649","https://openalex.org/W2954307287","https://openalex.org/W2963999633","https://openalex.org/W3012523953","https://openalex.org/W3012597271","https://openalex.org/W6765119895","https://openalex.org/W6775043225"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W1973739845","https://openalex.org/W119752240"],"abstract_inverted_index":{"Given":[0],"data":[1,50,142,149],"from":[2],"a":[3,9,75,92,181,203],"variety":[4,93],"of":[5,11,37,49,55,58,68,94,136,176,191],"sources":[6],"that":[7,151,199],"share":[8],"number":[10],"dimensions,":[12],"how":[13],"can":[14,105],"we":[15,73],"effectively":[16],"decompose":[17],"them":[18],"jointly":[19,33],"into":[20],"interpretable":[21],"latent":[22,195],"factors?":[23],"The":[24],"coupled":[25,80,107],"tensor":[26,60,84],"decomposition":[27,36],"framework":[28,205],"captures":[29],"this":[30,71,177],"idea":[31],"by":[32],"supporting":[34],"the":[35,56,59,66,99,121,141,174,188,194],"several":[38,168],"CP":[39,81],"tensors.":[40],"However,":[41],"coupling":[42,200],"tends":[43],"to":[44,134,159],"suffer":[45],"when":[46],"one":[47,54],"dimension":[48],"is":[51,61,157,201],"irregular,":[52],"i.e.,":[53],"dimensions":[57],"uneven,":[62],"such":[63],"as":[64,184,186],"in":[65,139,193],"case":[67],"PARAFAC2.":[69],"In":[70],"work,":[72],"provide":[74],"scalable":[76],"method":[77,119],"for":[78,206],"decomposing":[79],"and":[82,115,143,162,211],"PARAFAC2":[83],"datasets":[85],"through":[86],"non-negativity-constrained":[87],"least":[88,116],"squares":[89],"optimization":[90,118],"on":[91,147,180],"objective":[95],"functions.":[96],"We":[97,170],"offer":[98],"following":[100],"contributions:":[101],"(1)":[102],"Our":[103],"algorithm":[104],"perform":[106],"factorization":[108],"with":[109],"an":[110],"active-set,":[111],"block":[112],"principal":[113],"pivoting":[114],"square":[117],"including":[120],"Frobenius":[122],"norm":[123],"induced":[124],"non-negative":[125],"factorization.":[126],"(2)":[127],"C":[128,152],"<sup":[129,153],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[130,154],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[131,155],"APTION":[132,156],"scales":[133],"billions":[135],"non-zero":[137],"elements":[138,183],"both":[140],"model.":[144],"Comprehensive":[145],"experiments":[146],"large":[148],"confirmed":[150],"up":[158],"5\u00d7":[160],"faster":[161],"70":[163],"-":[164],"80%":[165],"accurate":[166],"than":[167],"baselines.":[169],"present":[171],"results":[172],"showing":[173],"scalability":[175],"novel":[178],"implementation":[179],"billion":[182],"well":[185],"demonstrate":[187],"high":[189],"level":[190],"interpretability":[192],"factors":[196],"produced,":[197],"implying":[198],"indeed":[202],"promising":[204],"large-scale,":[207],"unsupervised":[208],"pattern":[209],"exploration":[210],"cluster":[212],"discovery.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
