{"id":"https://openalex.org/W4412972019","doi":"https://doi.org/10.1109/tkde.2025.3590198","title":"Auto-Encoding Neural Tucker Factorization","display_name":"Auto-Encoding Neural Tucker Factorization","publication_year":2025,"publication_date":"2025-07-17","ids":{"openalex":"https://openalex.org/W4412972019","doi":"https://doi.org/10.1109/tkde.2025.3590198"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3590198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3590198","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/A5101903307","display_name":"Peng Tang","orcid":"https://orcid.org/0000-0003-3580-7667"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Tang","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088955392","display_name":"Xin Luo","orcid":"https://orcid.org/0000-0002-1348-5305"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Luo","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006626759","display_name":"Jim Woodcock","orcid":"https://orcid.org/0000-0001-7955-2702"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jim Woodcock","raw_affiliation_strings":["College of Computer and Information Science, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101903307"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":8.5176,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.97574489,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"37","issue":"10","first_page":"5795","last_page":"5807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.8104000091552734,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.8104000091552734,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8091784715652466},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6894354820251465},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5173735022544861},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.49377140402793884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4667736887931824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15578481554985046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8091784715652466},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6894354820251465},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5173735022544861},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.49377140402793884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4667736887931824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15578481554985046}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2025.3590198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3590198","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"},{"id":"pmh:oai:pure.atira.dk:publications/47837069-d3cd-4450-a9ee-4531328e2242","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/47837069-d3cd-4450-a9ee-4531328e2242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Tang, P, Luo, X & Woodcock, J 2025, 'Auto-Encoding Neural Tucker Factorization', IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 10, pp. 5795-5807. https://doi.org/10.1109/TKDE.2025.3590198","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6770021283","display_name":null,"funder_award_id":"CSTB2024TIAD-CYKJCXX0028","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G8515641209","display_name":null,"funder_award_id":"62272078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8770156021","display_name":null,"funder_award_id":"CSTB2023NSCQ-LZX0069","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1525800891","https://openalex.org/W1963826206","https://openalex.org/W1993482030","https://openalex.org/W2000215628","https://openalex.org/W2003493253","https://openalex.org/W2013912476","https://openalex.org/W2024165284","https://openalex.org/W2040870580","https://openalex.org/W2118706537","https://openalex.org/W2119264846","https://openalex.org/W2119523409","https://openalex.org/W2126447985","https://openalex.org/W2194775991","https://openalex.org/W2293139688","https://openalex.org/W2473015933","https://openalex.org/W2517030840","https://openalex.org/W2605350416","https://openalex.org/W2606967921","https://openalex.org/W2735318356","https://openalex.org/W2762772695","https://openalex.org/W2896936148","https://openalex.org/W2901144993","https://openalex.org/W2908578648","https://openalex.org/W2921719647","https://openalex.org/W2928382658","https://openalex.org/W2970059119","https://openalex.org/W2974156130","https://openalex.org/W2980537499","https://openalex.org/W3016179334","https://openalex.org/W3047753861","https://openalex.org/W3094071795","https://openalex.org/W3095862531","https://openalex.org/W3123160711","https://openalex.org/W3127698310","https://openalex.org/W3133794929","https://openalex.org/W3156564332","https://openalex.org/W3159462467","https://openalex.org/W3213920736","https://openalex.org/W4200597037","https://openalex.org/W4205678748","https://openalex.org/W4285166467","https://openalex.org/W4293107381","https://openalex.org/W4309345264","https://openalex.org/W4361801063","https://openalex.org/W4382202985","https://openalex.org/W4385245566","https://openalex.org/W4385958045","https://openalex.org/W4387968039","https://openalex.org/W4390321541","https://openalex.org/W4391305696","https://openalex.org/W4391559474","https://openalex.org/W4392647365","https://openalex.org/W4393380945","https://openalex.org/W4399039797","https://openalex.org/W4400071817","https://openalex.org/W4401329610","https://openalex.org/W4401905990","https://openalex.org/W4406610818"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Low-rank":[0],"latent":[1,52,90,111,160],"factorization":[2,29,53,151],"of":[3,119,145],"tensors":[4],"is":[5],"a":[6,50,80,88,124,197],"powerful":[7],"method":[8],"for":[9,69],"analyzing":[10],"high-dimensional":[11],"and":[12,34,94,116,137,140],"incomplete":[13],"(HDI)":[14],"data":[15],"derived":[16],"from":[17],"cyber-physical":[18],"systems,":[19],"particularly":[20],"when":[21],"computational":[22],"resources":[23],"are":[24,31],"limited.":[25],"However,":[26],"traditional":[27],"tensor":[28,127,148,195],"models":[30,170],"inherently":[32],"linear":[33],"struggle":[35],"to":[36,86,109,128,183],"capture":[37,87,184],"the":[38,45,75,143,146],"complex":[39],"nonlinear":[40,154],"spatiotemporal":[41,71,132,155,186],"dependencies":[42],"embedded":[43],"in":[44,92,149,171],"data.":[46],"This":[47],"paper":[48],"introduces":[49],"novel":[51],"model,":[54],"namely":[55],"<underline":[56,59,62,65],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[57,60,63,66],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">A</u>uto-encoding":[58],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N</u>eural":[61],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Tuc</u>ker":[64],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">F</u>actorization":[67],"(ANTucF)":[68],"accurate":[70],"representation":[72,156],"learning":[73,113,157],"on":[74,175],"HDI":[76],"tensor.":[77],"It":[78],"constructs":[79],"low-rank":[81],"Tucker":[82,125,150,193],"factorization-based":[83],"neural":[84,107],"network":[85],"potential":[89],"manifold":[91],"space":[93],"time,":[95],"built":[96],"upon":[97],"three":[98],"core":[99,147,194],"ideas:":[100],"a)":[101],"applying":[102],"density-oriented":[103],"modeling":[104],"principles":[105],"with":[106],"networks":[108],"facilitate":[110],"feature":[112],"via":[114,158],"positional":[115],"temporal":[117,138],"encoding":[118],"mode":[120],"indices;":[121],"b)":[122],"constructing":[123],"interaction":[126,161],"represent":[129],"all":[130],"possible":[131],"interactions":[133],"among":[134],"distinct":[135],"spatial":[136],"modes;":[139],"c)":[141],"enhancing":[142],"uniqueness":[144],"by":[152,188],"incorporating":[153],"auto-encoding":[159],"learning.":[162],"The":[163],"ANTucF":[164],"model":[165],"outperforms":[166],"several":[167],"state-of-the-art":[168],"LFT":[169],"estimating":[172],"missing":[173],"observations":[174],"real-world":[176],"datasets.":[177],"Additionally,":[178],"visualizations":[179],"demonstrate":[180],"its":[181],"ability":[182],"finer":[185],"dynamics":[187],"nonlinearly":[189],"exploiting":[190],"an":[191],"optimal":[192],"using":[196],"data-driven":[198],"approach.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}