{"id":"https://openalex.org/W3043360411","doi":"https://doi.org/10.1109/tkde.2020.3009488","title":"Data Representation by Joint Hypergraph Embedding and Sparse Coding","display_name":"Data Representation by Joint Hypergraph Embedding and Sparse Coding","publication_year":2020,"publication_date":"2020-07-15","ids":{"openalex":"https://openalex.org/W3043360411","doi":"https://doi.org/10.1109/tkde.2020.3009488","mag":"3043360411"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.3009488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3009488","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5101828697","display_name":"Guo Zhong","orcid":"https://orcid.org/0000-0002-6428-5645"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Guo Zhong","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-6428-5645","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005772506","display_name":"Chi\u2010Man Pun","orcid":"https://orcid.org/0000-0003-1788-3746"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chi-Man Pun","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-1788-3746","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":0.4792,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.65072946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":"5","first_page":"2106","last_page":"2119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9943000078201294,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.8323997259140015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7102220058441162},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5996366739273071},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5605923533439636},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5235966444015503},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5186490416526794},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5183423757553101},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5119953751564026},{"id":"https://openalex.org/keywords/reproducing-kernel-hilbert-space","display_name":"Reproducing kernel Hilbert space","score":0.486318439245224},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.47277072072029114},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47223541140556335},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4468914270401001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4428207278251648},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.42125487327575684},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4122348129749298},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.23107308149337769},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.22560185194015503},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19646325707435608}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8323997259140015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7102220058441162},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5996366739273071},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5605923533439636},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5235966444015503},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5186490416526794},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5183423757553101},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5119953751564026},{"id":"https://openalex.org/C80884492","wikidata":"https://www.wikidata.org/wiki/Q3345678","display_name":"Reproducing kernel Hilbert space","level":3,"score":0.486318439245224},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.47277072072029114},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47223541140556335},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4468914270401001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4428207278251648},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.42125487327575684},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4122348129749298},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.23107308149337769},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.22560185194015503},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19646325707435608},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.3009488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.3009488","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2603898597","display_name":null,"funder_award_id":"MYRG2019-00086-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G2985946009","display_name":null,"funder_award_id":"041/2017/A1","funder_id":"https://openalex.org/F4320321655","funder_display_name":"Science and Technology Development Fund"},{"id":"https://openalex.org/G4054305626","display_name":null,"funder_award_id":"0019/2019/A","funder_id":"https://openalex.org/F4320321655","funder_display_name":"Science and Technology Development Fund"},{"id":"https://openalex.org/G6702671400","display_name":null,"funder_award_id":"MYRG2018-00035-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W329387315","https://openalex.org/W590635534","https://openalex.org/W1084418525","https://openalex.org/W1510147702","https://openalex.org/W1515730329","https://openalex.org/W1556771345","https://openalex.org/W1655434153","https://openalex.org/W1902027874","https://openalex.org/W1974451338","https://openalex.org/W1978317329","https://openalex.org/W1978357561","https://openalex.org/W2000738214","https://openalex.org/W2000774449","https://openalex.org/W2002678574","https://openalex.org/W2005676288","https://openalex.org/W2017187835","https://openalex.org/W2018812345","https://openalex.org/W2028781966","https://openalex.org/W2051090063","https://openalex.org/W2053186076","https://openalex.org/W2054141820","https://openalex.org/W2060300932","https://openalex.org/W2063978378","https://openalex.org/W2075894130","https://openalex.org/W2079746361","https://openalex.org/W2093402979","https://openalex.org/W2097897435","https://openalex.org/W2103560185","https://openalex.org/W2104027187","https://openalex.org/W2105464873","https://openalex.org/W2108119513","https://openalex.org/W2118718620","https://openalex.org/W2121647436","https://openalex.org/W2129812935","https://openalex.org/W2135921993","https://openalex.org/W2138451337","https://openalex.org/W2142848040","https://openalex.org/W2144359569","https://openalex.org/W2145473366","https://openalex.org/W2152204644","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2162971057","https://openalex.org/W2168029744","https://openalex.org/W2168103112","https://openalex.org/W2169658215","https://openalex.org/W2170057991","https://openalex.org/W2187089797","https://openalex.org/W2253163421","https://openalex.org/W2262946425","https://openalex.org/W2288381231","https://openalex.org/W2298876498","https://openalex.org/W2318512420","https://openalex.org/W2415145453","https://openalex.org/W2494395359","https://openalex.org/W2509903396","https://openalex.org/W2528729631","https://openalex.org/W2534227439","https://openalex.org/W2586284062","https://openalex.org/W2744295891","https://openalex.org/W2752190933","https://openalex.org/W2758049963","https://openalex.org/W2770250693","https://openalex.org/W2801274496","https://openalex.org/W2808934018","https://openalex.org/W2811024573","https://openalex.org/W2883367876","https://openalex.org/W2897246342","https://openalex.org/W2897433210","https://openalex.org/W2898230917","https://openalex.org/W2899734633","https://openalex.org/W2908322374","https://openalex.org/W2940742415","https://openalex.org/W2951270686","https://openalex.org/W2955180871","https://openalex.org/W2962975498","https://openalex.org/W3022380717","https://openalex.org/W3148981562","https://openalex.org/W4242722506","https://openalex.org/W6630919623","https://openalex.org/W6677759377","https://openalex.org/W6679963453","https://openalex.org/W6682644385","https://openalex.org/W6691615350"],"related_works":["https://openalex.org/W2890505431","https://openalex.org/W1972656095","https://openalex.org/W2969938211","https://openalex.org/W2989679740","https://openalex.org/W4379791943","https://openalex.org/W4307693546","https://openalex.org/W2130174694","https://openalex.org/W1528539348","https://openalex.org/W2555425985","https://openalex.org/W3043360411"],"abstract_inverted_index":{"Matrix":[0],"factorization":[1,33,185],"(MF),":[2],"a":[3,73,88,115,122],"popular":[4],"unsupervised":[5],"learning":[6,118],"technique":[7],"for":[8,43,161],"data":[9,16,66,165,172],"representation,":[10],"has":[11,68,144],"been":[12],"widely":[13],"applied":[14],"in":[15,65,80,100,109],"mining":[17,67],"and":[18,47,96],"machine":[19],"learning.":[20],"According":[21],"to":[22,34,53,70,120,155],"different":[23,29],"application":[24],"scenarios,":[25],"one":[26],"can":[27,76],"impose":[28],"constraints":[30],"on":[31,63,135,171],"the":[32,36,44,49,54,81,102,136,141,152,156,176,181],"find":[35,71],"desired":[37],"basis,":[38,74],"which":[39,75,101],"captures":[40,105],"high-level":[41],"semantics":[42,79],"given":[45],"data,":[46],"learns":[48],"compact":[50],"representation":[51,143],"corresponding":[52],"basis.":[55],"We":[56],"note":[57],"that":[58,140,175],"almost":[59],"all":[60],"previous":[61],"work":[62],"MF":[64,90],"ignored":[69],"such":[72,139],"carry":[77],"high-order":[78,106],"data.":[82,110],"In":[83,148],"this":[84],"article,":[85],"we":[86,112,150],"propose":[87,114],"novel":[89],"framework":[91],"called":[92],"Joint":[93],"Hypergraph":[94],"Embedding":[95],"Sparse":[97],"Coding":[98],"(JHESC),":[99],"obtained":[103],"basis":[104,125,138],"semantic":[107],"information":[108],"Specifically,":[111],"first":[113],"new":[116,142],"hypergraph":[117],"model":[119],"obtain":[121],"more":[123,166],"discriminative":[124],"by":[126],"hypergraph-based":[127],"Laplacian":[128],"Eigenmap,":[129],"then":[130],"sparse":[131],"coding":[132],"is":[133],"conducted":[134],"learned":[137],"stronger":[145],"identification":[146],"capability.":[147],"addition,":[149],"extend":[151],"proposed":[153,177],"method":[154,178],"reproducing":[157],"kernel":[158],"Hilbert":[159],"space":[160],"dealing":[162],"with":[163],"nonlinear":[164],"effectively.":[167],"Extensive":[168],"experimental":[169],"results":[170],"clustering":[173],"demonstrate":[174],"consistently":[179],"outperforms":[180],"other":[182],"state-of-the-art":[183],"matrix":[184],"methods.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
