{"id":"https://openalex.org/W4312853384","doi":"https://doi.org/10.1109/tkde.2022.3221668","title":"Random Walk on Multiple Networks","display_name":"Random Walk on Multiple Networks","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312853384","doi":"https://doi.org/10.1109/tkde.2022.3221668"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3221668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3221668","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/A5102761357","display_name":"Dongsheng Luo","orcid":"https://orcid.org/0000-0003-4192-0826"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dongsheng Luo","raw_affiliation_strings":["the Florida International University, Miami, FL, USA"],"affiliations":[{"raw_affiliation_string":"the Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005150470","display_name":"Yuchen Bian","orcid":"https://orcid.org/0000-0002-0685-3771"},"institutions":[{"id":"https://openalex.org/I4210133358","display_name":"Search","ror":"https://ror.org/03f78hn46","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210133358"]},{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuchen Bian","raw_affiliation_strings":["Amazon Search Science and AI, USA"],"affiliations":[{"raw_affiliation_string":"Amazon Search Science and AI, USA","institution_ids":["https://openalex.org/I1311688040","https://openalex.org/I4210133358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025444789","display_name":"Yaowei Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaowei Yan","raw_affiliation_strings":["Meta Platforms, Inc., USA"],"affiliations":[{"raw_affiliation_string":"Meta Platforms, Inc., USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047074008","display_name":"Xiong Yu","orcid":"https://orcid.org/0000-0001-6879-2567"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiong Yu","raw_affiliation_strings":["Case Western Reserve University, USA"],"affiliations":[{"raw_affiliation_string":"Case Western Reserve University, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080409305","display_name":"Jun Huan","orcid":"https://orcid.org/0000-0002-7020-1604"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Huan","raw_affiliation_strings":["AWS AI Labs, USA"],"affiliations":[{"raw_affiliation_string":"AWS AI Labs, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073106811","display_name":"Xiao Liu","orcid":"https://orcid.org/0000-0002-8459-3135"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Liu","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060725887","display_name":"X. D. Zhang","orcid":"https://orcid.org/0000-0003-0940-6595"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102761357"],"corresponding_institution_ids":["https://openalex.org/I19700959"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14562537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8097083568572998},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.7924985885620117},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6753488779067993},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5733798146247864},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5005505084991455},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4868735373020172},{"id":"https://openalex.org/keywords/evolving-networks","display_name":"Evolving networks","score":0.4310525059700012},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4074642062187195},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38546979427337646},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.2828199863433838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26737624406814575},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23241132497787476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12883031368255615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8097083568572998},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.7924985885620117},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6753488779067993},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5733798146247864},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5005505084991455},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4868735373020172},{"id":"https://openalex.org/C36647736","wikidata":"https://www.wikidata.org/wiki/Q5418752","display_name":"Evolving networks","level":3,"score":0.4310525059700012},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4074642062187195},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38546979427337646},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.2828199863433838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26737624406814575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23241132497787476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12883031368255615},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3221668","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3221668","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W776559747","https://openalex.org/W1514107797","https://openalex.org/W1564354600","https://openalex.org/W1575116203","https://openalex.org/W1812137573","https://openalex.org/W1854214752","https://openalex.org/W1888005072","https://openalex.org/W1991408655","https://openalex.org/W2016273060","https://openalex.org/W2019247858","https://openalex.org/W2022322548","https://openalex.org/W2024729467","https://openalex.org/W2074617510","https://openalex.org/W2086254934","https://openalex.org/W2090891622","https://openalex.org/W2097777089","https://openalex.org/W2101234009","https://openalex.org/W2112439948","https://openalex.org/W2117831564","https://openalex.org/W2123583562","https://openalex.org/W2127525710","https://openalex.org/W2133299088","https://openalex.org/W2154851992","https://openalex.org/W2155461593","https://openalex.org/W2207622687","https://openalex.org/W2240268387","https://openalex.org/W2295258851","https://openalex.org/W2341146251","https://openalex.org/W2562125776","https://openalex.org/W2564084673","https://openalex.org/W2725075778","https://openalex.org/W2767346227","https://openalex.org/W2771561887","https://openalex.org/W2774332479","https://openalex.org/W2775217026","https://openalex.org/W2788816357","https://openalex.org/W2792402990","https://openalex.org/W2794537017","https://openalex.org/W2798557793","https://openalex.org/W2801116648","https://openalex.org/W2806763555","https://openalex.org/W2808109209","https://openalex.org/W2809645418","https://openalex.org/W2895196002","https://openalex.org/W2901402683","https://openalex.org/W2907682881","https://openalex.org/W2913786033","https://openalex.org/W2962756421","https://openalex.org/W2981522180","https://openalex.org/W2982394413","https://openalex.org/W2983396602","https://openalex.org/W2997932753","https://openalex.org/W3037826211","https://openalex.org/W3093862905","https://openalex.org/W3104097132","https://openalex.org/W3106488715","https://openalex.org/W3177890934","https://openalex.org/W4288088467","https://openalex.org/W4289389616","https://openalex.org/W4290948206","https://openalex.org/W4294170691","https://openalex.org/W6634397775","https://openalex.org/W6639055396","https://openalex.org/W6675354045","https://openalex.org/W6682691769","https://openalex.org/W6683180375","https://openalex.org/W6749578362","https://openalex.org/W6755863455","https://openalex.org/W6756822014","https://openalex.org/W6766892243"],"related_works":["https://openalex.org/W1597743604","https://openalex.org/W2038723108","https://openalex.org/W2081900870","https://openalex.org/W2033630974","https://openalex.org/W2325737604","https://openalex.org/W4245069437","https://openalex.org/W2042537860","https://openalex.org/W4297449606","https://openalex.org/W2382333285","https://openalex.org/W2183306018"],"abstract_inverted_index":{"Random":[0],"Walk":[1],"is":[2,93],"a":[3,114],"basic":[4],"algorithm":[5],"to":[6,120],"explore":[7],"the":[8,67,122,130,144,183],"structure":[9],"of":[10,69,147,187],"networks,":[11,90,103],"which":[12,54,104],"can":[13,58],"be":[14,59],"used":[15],"in":[16,72,81,164],"many":[17],"tasks,":[18],"such":[19],"as":[20],"local":[21,123,170],"community":[22,171],"detection":[23],"and":[24,57,75,95,100,169,179,185],"network":[25,119,167],"embedding.":[26],"Existing":[27],"random":[28,86,115],"walk":[29,87],"methods":[30,151],"are":[31,55,156],"based":[32],"on":[33,79,88,117,176],"single":[34],"networks":[35,74,99],"that":[36],"contain":[37,45],"limited":[38],"information.":[39],"In":[40],"contrast,":[41],"real":[42],"data":[43],"often":[44],"entities":[46],"with":[47,134,152],"different":[48,52],"types":[49],"or/and":[50],"from":[51],"sources,":[53],"comprehensive":[56],"better":[60,77],"modeled":[61],"by":[62],"multiple":[63,73,89,102],"networks.":[64,111],"To":[65],"take":[66],"advantage":[68],"rich":[70],"information":[71],"make":[76],"inferences":[78],"entities,":[80],"this":[82],"study,":[83],"we":[84],"propose":[85],"RWM.":[91,148,188],"RWM":[92,112,163],"flexible":[94],"supports":[96],"both":[97,177],"multiplex":[98],"general":[101],"may":[105],"form":[106],"many-to-many":[107],"node":[108,126],"mappings":[109],"between":[110],"sends":[113],"walker":[116],"each":[118,139],"obtain":[121],"proximity":[124],"(i.e.,":[125],"visiting":[127,136],"probabilities)":[128],"w.r.t.":[129],"starting":[131],"nodes.":[132],"Walkers":[133],"similar":[135],"probabilities":[137],"reinforce":[138],"other.":[140],"We":[141,161],"theoretically":[142],"analyze":[143],"convergence":[145],"properties":[146],"Two":[149],"approximation":[150],"theoretical":[153],"performance":[154],"guarantees":[155],"proposed":[157],"for":[158],"efficient":[159],"computation.":[160],"apply":[162],"link":[165],"prediction,":[166],"embedding,":[168],"detection.":[172],"Comprehensive":[173],"experiments":[174],"conducted":[175],"synthetic":[178],"real-world":[180],"datasets":[181],"demonstrate":[182],"effectiveness":[184],"efficiency":[186]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}