{"id":"https://openalex.org/W2886263965","doi":"https://doi.org/10.1145/3229543.3229546","title":"Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks","display_name":"Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2886263965","doi":"https://doi.org/10.1145/3229543.3229546","mag":"2886263965"},"language":"en","primary_location":{"id":"doi:10.1145/3229543.3229546","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3229543.3229546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Workshop on Network Meets AI & ML - NetAI'18","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/A5078920845","display_name":"Kai Lei","orcid":"https://orcid.org/0000-0001-9197-895X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Lei","raw_affiliation_strings":["Shenzhen Key Lab for Cloud Computing Technology and Applications (SPCCTA), School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab for Cloud Computing Technology and Applications (SPCCTA), School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068732231","display_name":"Meng Qin","orcid":"https://orcid.org/0000-0003-4038-2245"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Qin","raw_affiliation_strings":["Shenzhen Key Lab for Cloud Computing Technology and Applications (SPCCTA), School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Lab for Cloud Computing Technology and Applications (SPCCTA), School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001405009","display_name":"Bo Bai","orcid":"https://orcid.org/0000-0003-4796-8249"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Bai","raw_affiliation_strings":["Future Network Theory Lab, 2012 Labs, Huawei Technologies, Co. Ltd., Shatin, NT., Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Future Network Theory Lab, 2012 Labs, Huawei Technologies, Co. Ltd., Shatin, NT., Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100368312","display_name":"Gong Zhang","orcid":"https://orcid.org/0000-0003-0283-7050"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gong Zhang","raw_affiliation_strings":["Future Network Theory Lab, 2012 Labs, Huawei Technologies, Co. Ltd., Shatin, NT., Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Future Network Theory Lab, 2012 Labs, Huawei Technologies, Co. Ltd., Shatin, NT., Hong Kong, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078920845"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.7541,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.70971326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9635000228881836,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7972827553749084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.789099931716919},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.728574812412262},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5064777135848999},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.45298606157302856},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.44587448239326477},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.43028995394706726},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4240516424179077},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3835276663303375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3329470157623291},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33187633752822876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31317687034606934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1538430154323578},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08530929684638977}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7972827553749084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.789099931716919},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.728574812412262},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5064777135848999},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.45298606157302856},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.44587448239326477},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.43028995394706726},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4240516424179077},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3835276663303375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3329470157623291},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33187633752822876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31317687034606934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1538430154323578},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08530929684638977},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3229543.3229546","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3229543.3229546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Workshop on Network Meets AI & ML - NetAI'18","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332500","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W2026417691","https://openalex.org/W2036285176","https://openalex.org/W2049730968","https://openalex.org/W2121098412","https://openalex.org/W2138677604","https://openalex.org/W2163032501","https://openalex.org/W2172041433","https://openalex.org/W2242161203","https://openalex.org/W2470861207","https://openalex.org/W2493400205","https://openalex.org/W2522815354","https://openalex.org/W2604942799","https://openalex.org/W2650688300","https://openalex.org/W2763875966","https://openalex.org/W2768352146","https://openalex.org/W2777190022","https://openalex.org/W2793311937"],"related_works":["https://openalex.org/W2092179621","https://openalex.org/W2322922235","https://openalex.org/W3016713431","https://openalex.org/W2106109378","https://openalex.org/W4383428431","https://openalex.org/W2790547488","https://openalex.org/W2162982837","https://openalex.org/W2139332770","https://openalex.org/W4210526874","https://openalex.org/W1095023703"],"abstract_inverted_index":{"The":[0],"prediction":[1,28,121,198],"of":[2,15,47,58,78,95,112,123,135,199],"mobility,":[3],"topology":[4,126],"and":[5,179,202],"traffic":[6],"is":[7],"an":[8,156],"effective":[9],"technique":[10],"to":[11,50,106,164],"improve":[12],"the":[13,25,45,56,63,67,76,92,109,116,120,132,138,146,158,195],"performance":[14],"various":[16,165],"network":[17,48,69,80,125,166],"systems,":[18],"which":[19],"can":[20,89,127,152],"be":[21,128,153,162],"generally":[22],"represented":[23],"as":[24,169],"temporal":[26,196],"link":[27,197],"problem.":[29,54],"In":[30],"this":[31],"paper,":[32],"we":[33,100,143],"propose":[34],"a":[35,71,102],"novel":[36,103],"adaptive":[37,104],"multiple":[38],"non-negative":[39,59],"matrix":[40,60],"factorization":[41,61],"(AM-NMF)":[42],"method":[43,65,88,188],"from":[44],"view":[46],"embedding":[49],"cope":[51],"with":[52],"such":[53,168],"Under":[55],"framework":[57],"(NMF),":[62],"proposed":[64],"embeds":[66],"dynamic":[68],"into":[70],"low-dimensional":[72],"hidden":[73,93,140],"space,":[74],"where":[75],"characteristics":[77],"different":[79,96,113],"snapshots":[81],"are":[82],"comprehensively":[83],"preserved.":[84],"Especially,":[85],"our":[86,187],"new":[87,159],"effectively":[90],"incorporate":[91],"information":[94],"time":[97],"slices,":[98],"because":[99],"introduce":[101],"parameter":[105],"automatically":[107],"adjust":[108],"relative":[110],"contribution":[111],"terms":[114],"in":[115],"uniform":[117],"model.":[118],"Accordingly,":[119],"result":[122],"future":[124],"generated":[129],"by":[130],"conducting":[131],"inverse":[133],"process":[134],"NMF":[136],"form":[137],"shared":[139],"space.":[141],"Moreover,":[142],"also":[144],"derive":[145],"corresponding":[147],"solving":[148],"strategy":[149],"whose":[150],"convergence":[151],"ensured.":[154],"As":[155],"illustration,":[157],"model":[160],"will":[161],"applied":[163],"datasets":[167],"human":[170],"mobility":[171,174],"networks,":[172,175],"vehicle":[173],"wireless":[176],"mesh":[177],"networks":[178],"data":[180],"center":[181],"networks.":[182,204],"Experimental":[183],"results":[184],"show":[185],"that":[186],"outperforms":[189],"some":[190],"other":[191],"state-of-the-art":[192],"methods":[193],"for":[194],"both":[200],"unweighted":[201],"weighted":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}