{"id":"https://openalex.org/W4403577449","doi":"https://doi.org/10.1145/3627673.3679833","title":"Neural Additive Tensor Decomposition for Sparse Tensors","display_name":"Neural Additive Tensor Decomposition for Sparse Tensors","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403577449","doi":"https://doi.org/10.1145/3627673.3679833"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679833","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679833","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3627673.3679833","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056204499","display_name":"Dawon Ahn","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":"Dawon Ahn","raw_affiliation_strings":["University of California, Riverside, Riverside, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046186451","display_name":"Uday Singh Saini","orcid":"https://orcid.org/0000-0002-8561-5527"},"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":"Uday Singh Saini","raw_affiliation_strings":["University of California, Riverside, Riverside, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","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, Riverside, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076250758","display_name":"Ali Payani","orcid":"https://orcid.org/0000-0003-4054-2958"},"institutions":[{"id":"https://openalex.org/I135428043","display_name":"Cisco Systems (United States)","ror":"https://ror.org/03yt1ez60","country_code":"US","type":"company","lineage":["https://openalex.org/I135428043"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Payani","raw_affiliation_strings":["Cisco Systems Inc., San Jose, USA"],"affiliations":[{"raw_affiliation_string":"Cisco Systems Inc., San Jose, USA","institution_ids":["https://openalex.org/I135428043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056204499"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":1.0195,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74760766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"14","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9857000112533569,"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/decomposition","display_name":"Decomposition","score":0.6822381019592285},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6169189214706421},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.6093230247497559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4799673557281494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38775643706321716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35877180099487305},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.34751009941101074},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.32619786262512207},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.15027976036071777}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6822381019592285},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6169189214706421},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.6093230247497559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4799673557281494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38775643706321716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35877180099487305},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.34751009941101074},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.32619786262512207},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.15027976036071777},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679833","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679833","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3627673.3679833","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3679833","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1814521481","https://openalex.org/W1963826206","https://openalex.org/W1969116741","https://openalex.org/W2000215628","https://openalex.org/W2052626679","https://openalex.org/W2071702404","https://openalex.org/W2112835755","https://openalex.org/W2150059498","https://openalex.org/W2520495422","https://openalex.org/W2538515886","https://openalex.org/W2605350416","https://openalex.org/W2889186417","https://openalex.org/W2897363137","https://openalex.org/W2914231700","https://openalex.org/W2948703217","https://openalex.org/W2965446129","https://openalex.org/W3030415228","https://openalex.org/W3035382666","https://openalex.org/W3035671087","https://openalex.org/W3092425059","https://openalex.org/W3096024647","https://openalex.org/W3127312076","https://openalex.org/W3134909912","https://openalex.org/W3137884659","https://openalex.org/W4290945511","https://openalex.org/W4393147743","https://openalex.org/W4403180347"],"related_works":["https://openalex.org/W4379256054","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W47805180","https://openalex.org/W3216281372","https://openalex.org/W2963838862","https://openalex.org/W2608089480","https://openalex.org/W3015641590","https://openalex.org/W2987657992","https://openalex.org/W4297666106"],"abstract_inverted_index":{"Given":[0],"a":[1,26,94],"sparse":[2,53],"tensor,":[3],"how":[4],"can":[5],"we":[6],"accurately":[7],"capture":[8],"complex":[9,48,69],"latent":[10,91],"structures":[11,37,49,70,92],"inherent":[12],"in":[13,46,51,67,93,112,120],"the":[14,18,61,72,79,103],"tensor":[15,33,57,65,84],"while":[16],"maintaining":[17],"interpretability":[19],"of":[20,63,81],"those":[21],"structures?":[22],"Tensor":[23],"decomposition":[24],"is":[25,110],"fundamental":[27],"technique":[28],"for":[29],"analyzing":[30],"tensors.":[31,54],"Classical":[32],"models":[34,58,66,85],"provide":[35],"multi-linear":[36],"that":[38],"are":[39],"easy":[40],"to":[41,100],"interpret,":[42],"but":[43],"have":[44,59],"limitations":[45],"capturing":[47,68],"present":[50],"real-world":[52],"Recent":[55],"neural":[56,83],"extended":[60],"capabilities":[62],"classical":[64],"within":[71,90],"data.":[73],"However,":[74],"this":[75],"has":[76],"come":[77],"at":[78],"cost":[80],"interpretability:":[82],"entangle":[86],"interactions":[87],"across":[88],"and":[89],"black-box":[95],"manner,":[96],"making":[97],"it":[98],"difficult":[99],"readily":[101],"understand":[102],"discovered":[104],"structures.":[105],"Understanding":[106],"these":[107],"structures,":[108],"however,":[109],"crucial":[111],"applications":[113],"such":[114],"as":[115],"healthcare,":[116],"which":[117],"requires":[118],"transparency":[119],"critical":[121],"decision-making":[122],"processes.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}