{"id":"https://openalex.org/W4406460035","doi":"https://doi.org/10.1109/bigdata62323.2024.10825542","title":"Graph Neural Network Guided Music Mashup Generation","display_name":"Graph Neural Network Guided Music Mashup Generation","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406460035","doi":"https://doi.org/10.1109/bigdata62323.2024.10825542"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5038256245","display_name":"Xinyang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xinyang Wu","raw_affiliation_strings":["Hong Kong University of Science and Technology,Dept. Computer Science and Engineering,Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Dept. Computer Science and Engineering,Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056541447","display_name":"Andrew Horner","orcid":"https://orcid.org/0000-0002-9795-5190"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Andrew Horner","raw_affiliation_strings":["Hong Kong University of Science and Technology,Dept. Computer Science and Engineering,Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology,Dept. Computer Science and Engineering,Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038256245"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29045051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3235","last_page":"3241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9915000200271606,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7250902652740479},{"id":"https://openalex.org/keywords/mashup","display_name":"Mashup","score":0.7189182639122009},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4940829575061798},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4506525993347168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3365124464035034},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26149868965148926},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22680336236953735},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.17270585894584656},{"id":"https://openalex.org/keywords/web-2.0","display_name":"Web 2.0","score":0.07006368041038513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250902652740479},{"id":"https://openalex.org/C196126337","wikidata":"https://www.wikidata.org/wiki/Q821080","display_name":"Mashup","level":4,"score":0.7189182639122009},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4940829575061798},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4506525993347168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3365124464035034},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26149868965148926},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22680336236953735},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.17270585894584656},{"id":"https://openalex.org/C136699151","wikidata":"https://www.wikidata.org/wiki/Q131164","display_name":"Web 2.0","level":3,"score":0.07006368041038513}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-146748","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-146748","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1978421240","https://openalex.org/W2116341502","https://openalex.org/W2123991323","https://openalex.org/W2126264921","https://openalex.org/W2140450582","https://openalex.org/W2141917070","https://openalex.org/W2346512344","https://openalex.org/W2561675875","https://openalex.org/W2575184434","https://openalex.org/W2907492528","https://openalex.org/W2964051853","https://openalex.org/W2971458685","https://openalex.org/W2972840406","https://openalex.org/W3028772300","https://openalex.org/W3037149862","https://openalex.org/W3043861921","https://openalex.org/W3096609285","https://openalex.org/W3118825798","https://openalex.org/W3131428244","https://openalex.org/W3134160722","https://openalex.org/W3145867403","https://openalex.org/W3189324775","https://openalex.org/W3208430676","https://openalex.org/W4285419582","https://openalex.org/W4288407552","https://openalex.org/W4297733535","https://openalex.org/W4353007232","https://openalex.org/W4372260250","https://openalex.org/W4389364114","https://openalex.org/W4390306302","https://openalex.org/W4402346036","https://openalex.org/W6631848007","https://openalex.org/W6639824700","https://openalex.org/W6714465912","https://openalex.org/W6739386158","https://openalex.org/W6739901393","https://openalex.org/W6746430418","https://openalex.org/W6746914816","https://openalex.org/W6760571136","https://openalex.org/W6762674026","https://openalex.org/W6781319653","https://openalex.org/W6799464010","https://openalex.org/W6851318867","https://openalex.org/W6859746055","https://openalex.org/W6860364190","https://openalex.org/W6871912185"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2154270547","https://openalex.org/W3002405669","https://openalex.org/W66507862","https://openalex.org/W2112107765","https://openalex.org/W2341203197","https://openalex.org/W1851202668","https://openalex.org/W87798777"],"abstract_inverted_index":{"Music":[0],"mashups":[1,36,144,164],"integrate":[2],"elements":[3],"from":[4],"different":[5],"songs":[6],"to":[7,57,70,111,115,140],"create":[8],"surprising":[9,126],"and":[10,54,91,127,154],"engaging":[11],"listening":[12,138],"experiences.":[13],"Typically,":[14],"a":[15,22,101,146],"mashup":[16,62,132],"combines":[17],"the":[18,26,33,94,119,150,155],"vocal":[19,95,121],"track":[20],"of":[21,29,35,41],"base":[23,120,157],"song":[24,152],"with":[25,93,118],"instrumental":[27,113],"tracks":[28],"complementary":[30],"songs.":[31],"Automating":[32],"production":[34],"has":[37],"been":[38],"an":[39],"area":[40],"research":[42],"for":[43,61,131,166],"decades.":[44],"Traditional":[45],"approaches":[46,76],"utilize":[47],"rule-based":[48],"methods,":[49],"such":[50],"as":[51],"matching":[52],"tempo":[53],"harmonic":[55],"similarity,":[56],"select":[58],"optimal":[59],"segments":[60,81,114],"generation.":[63,133],"More":[64],"recent":[65],"techniques":[66],"leverage":[67],"neural":[68],"networks":[69],"classify":[71],"segment":[72],"compatibility.":[73],"However,":[74],"both":[75],"primarily":[77],"focus":[78],"on":[79],"layering":[80],"that":[82,109],"are":[83],"generally":[84],"compatible,":[85],"without":[86],"ensuring":[87],"their":[88],"detailed":[89],"integration":[90],"alignment":[92],"track.":[96],"In":[97],"contrast,":[98],"we":[99,135],"introduce":[100],"novel":[102],"approach":[103],"using":[104,149],"Graph":[105],"Neural":[106],"Networks":[107],"(GNNs)":[108],"learns":[110],"rearrange":[112],"better":[116],"align":[117],"track,":[122],"resulting":[123],"in":[124,171],"more":[125],"accurate":[128],"music":[129],"blends":[130],"Additionally,":[134],"conducted":[136],"subjective":[137],"tests":[139],"evaluate":[141],"our":[142,160],"generated":[143],"against":[145],"baseline":[147],"model":[148],"same":[151],"pairs":[153],"original":[156],"songs,":[158],"assessing":[159],"model\u2019s":[161],"performance.":[162],"Generated":[163],"used":[165],"evaluation":[167],"can":[168],"be":[169],"found":[170],"https://anonymousmus.github.io/bnr.github.io/.":[172]},"counts_by_year":[],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}