{"id":"https://openalex.org/W4414230090","doi":"https://doi.org/10.1109/jbhi.2025.3609292","title":"MiRNA-Disease Association Prediction via Cosine Annealing and Multi-Head Self-Attention in HyperGCN","display_name":"MiRNA-Disease Association Prediction via Cosine Annealing and Multi-Head Self-Attention in HyperGCN","publication_year":2025,"publication_date":"2025-09-16","ids":{"openalex":"https://openalex.org/W4414230090","doi":"https://doi.org/10.1109/jbhi.2025.3609292","pmid":"https://pubmed.ncbi.nlm.nih.gov/40956749"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3609292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3609292","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100749286","display_name":"Rong Zhu","orcid":"https://orcid.org/0000-0002-0687-7343"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Zhu","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0002-0687-7343","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014529529","display_name":"Jie Zheng","orcid":"https://orcid.org/0000-0001-6774-9786"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zheng","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026321873","display_name":"Zhenghua Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Hua Chang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073144090","display_name":"Jin\u2010Xing Liu","orcid":"https://orcid.org/0000-0001-6104-2149"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin-Xing Liu","raw_affiliation_strings":["School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-6104-2149","affiliations":[{"raw_affiliation_string":"School of Health and Life Sciences, University of Health and Rehabilitation Sciences, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007539735","display_name":"Junliang Shang","orcid":"https://orcid.org/0000-0002-8488-2228"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Liang Shang","raw_affiliation_strings":["School of Computer Science, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0002-8488-2228","affiliations":[{"raw_affiliation_string":"School of Computer Science, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yong Wang","orcid":"https://orcid.org/0009-0001-2844-6587"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["Laboratory Experimental Teaching and Equipment Management Center, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0009-0001-2844-6587","affiliations":[{"raw_affiliation_string":"Laboratory Experimental Teaching and Equipment Management Center, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27067357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"6","first_page":"4503","last_page":"4512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10062","display_name":"MicroRNA in disease regulation","score":0.9103000164031982,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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"}},"topics":[{"id":"https://openalex.org/T10062","display_name":"MicroRNA in disease regulation","score":0.9103000164031982,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/trigonometric-functions","display_name":"Trigonometric functions","score":0.5206999778747559},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5171999931335449},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.44830000400543213},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4406000077724457},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.3756999969482422},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.3621000051498413},{"id":"https://openalex.org/keywords/human-disease","display_name":"Human disease","score":0.33980000019073486},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.3343999981880188},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.3248000144958496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796000003814697},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.5206999778747559},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5171999931335449},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.44830000400543213},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38749998807907104},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37059998512268066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36660000681877136},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C2988867146","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Human disease","level":3,"score":0.33980000019073486},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2973000109195709},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2815999984741211},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2621999979019165},{"id":"https://openalex.org/C40422974","wikidata":"https://www.wikidata.org/wiki/Q741248","display_name":"Assertion","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.25609999895095825},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2535000145435333}],"mesh":[{"descriptor_ui":"D000098422","descriptor_name":"Graph Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098422","descriptor_name":"Graph Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098422","descriptor_name":"Graph Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D020022","descriptor_name":"Genetic Predisposition to Disease","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3609292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3609292","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:40956749","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40956749","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3938201872","display_name":null,"funder_award_id":"62473179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4690668261","display_name":null,"funder_award_id":"62472250","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Biological":[0],"studies":[1],"have":[2],"demonstrated":[3],"that":[4,210,225],"understanding":[5],"the":[6,47,62,150,162,165,176,190,223,237],"association":[7],"between":[8,240],"miRNAs":[9,116],"and":[10,18,49,76,100,106,117,121,231,242],"disease":[11,15,67],"is":[12,37,123,131],"critical":[13],"for":[14,24,65,115,125,136,234],"prevention,":[16],"assessment,":[17],"therapy.":[19],"However,":[20],"traditional":[21,70],"experimental":[22,207],"methods":[23,44,64],"inferring":[25],"these":[26,87],"connections":[27],"are":[28,59,119],"not":[29],"only":[30],"costly":[31],"but":[32],"also":[33],"inefficient.":[34],"Hence,":[35],"there":[36],"a":[38,91,102,107,168,186,229],"pressing":[39],"need":[40],"to":[41,45],"develop":[42],"novel":[43],"improve":[46],"accuracy":[48],"efficiency":[50],"of":[51,61,164,171,196],"forecasting.":[52],"Currently,":[53],"graph":[54],"convolutional":[55],"networks":[56,114],"(GCNs)":[57],"techniques":[58],"one":[60],"mainstream":[63],"predicting":[66],"correlations.":[68],"Nevertheless,":[69],"GCNs":[71],"suffer":[72],"from":[73],"gradient":[74,77],"vanishing":[75],"explosion":[78],"problems":[79],"when":[80],"dealing":[81],"with":[82,199],"long-range":[83],"dependencies.":[84],"To":[85,160],"overcome":[86],"problems,":[88],"we":[89],"suggest":[90],"new":[92],"approach":[93],"called":[94],"HGCMMDA,":[95,112],"which":[96],"relies":[97],"on":[98],"HyperGCN":[99,135],"combines":[101],"cosine":[103,147],"annealing":[104,148],"algorithm":[105],"multi-head":[108],"self-attention":[109,141],"mechanism.":[110],"In":[111],"similarity":[113],"diseases":[118],"constructed,":[120],"GCN":[122],"used":[124],"feature":[126],"extraction.":[127],"A":[128,153],"heterogeneity":[129],"hypergraph":[130],"then":[132],"built":[133],"via":[134],"improved":[137],"information":[138],"propagation.":[139],"Multi-head":[140],"captures":[142],"diverse":[143],"node":[144],"relations,":[145],"while":[146],"adjusts":[149],"learning":[151],"rate.":[152],"combined":[154],"BCE-Dice":[155],"loss":[156],"ensures":[157],"accurate":[158],"prediction.":[159],"evaluate":[161],"effectiveness":[163],"proposed":[166],"method,":[167],"comprehensive":[169],"set":[170],"experiments":[172],"was":[173],"conducted":[174],"using":[175],"Human":[177],"microRNA":[178],"Disease":[179],"Database":[180],"(HMDD":[181],"v3.2).":[182],"The":[183,206],"method":[184],"achieved":[185],"peak":[187],"area":[188],"under":[189],"receiver":[191],"operating":[192],"characteristic":[193],"curve":[194],"(AUC)":[195],"0.9515,":[197],"along":[198],"competitive":[200],"performance":[201],"in":[202],"other":[203],"evaluation":[204],"metrics.":[205],"findings":[208],"indicate":[209],"HGCMMDA":[211,226],"achieves":[212],"notable":[213],"enhancements":[214],"over":[215],"previously":[216],"established":[217],"approaches.":[218],"These":[219],"results":[220],"strongly":[221],"support":[222],"assertion":[224],"serves":[227],"as":[228],"dependable":[230],"effective":[232],"framework":[233],"comprehensively":[235],"exploring":[236],"intricate":[238],"associations":[239],"microRNAs":[241],"human":[243],"diseases.":[244]},"counts_by_year":[],"updated_date":"2026-06-06T06:22:57.294733","created_date":"2025-10-10T00:00:00"}