{"id":"https://openalex.org/W7153592499","doi":"https://doi.org/10.1016/j.engappai.2026.114812","title":"Adaptive dynamic training heterogeneous graph attention neural network for microRNA-disease association prediction and analysis framework","display_name":"Adaptive dynamic training heterogeneous graph attention neural network for microRNA-disease association prediction and analysis framework","publication_year":2026,"publication_date":"2026-04-11","ids":{"openalex":"https://openalex.org/W7153592499","doi":"https://doi.org/10.1016/j.engappai.2026.114812"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2026.114812","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114812","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.engappai.2026.114812","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133400970","display_name":"Yinbo Liu","orcid":"https://orcid.org/0009-0007-6903-3424"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinbo Liu","raw_affiliation_strings":["School of Artificial Intelligence, Wuhan University, Wuhan, Hubei, 430072, China","School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China"],"raw_orcid":"https://orcid.org/0009-0007-6903-3424","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Wuhan University, Wuhan, Hubei, 430072, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210111616"]},{"raw_affiliation_string":"School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111314071","display_name":"Sijian Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijian Wen","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, Hunan, 410083, China","School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, 410083, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133429225","display_name":"Qi Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wu","raw_affiliation_strings":["School of Artificial Intelligence, Wuhan University, Wuhan, Hubei, 430072, China","School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Wuhan University, Wuhan, Hubei, 430072, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210111616"]},{"raw_affiliation_string":"School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133420447","display_name":"Yue Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Yi","raw_affiliation_strings":["School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133414696","display_name":"Yongmei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongmei Wang","raw_affiliation_strings":["School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China","institution_ids":["https://openalex.org/I140221134"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiaolei Zhu","orcid":"https://orcid.org/0000-0002-1967-2806"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolei Zhu","raw_affiliation_strings":["School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China"],"raw_orcid":"https://orcid.org/0000-0002-1967-2806","affiliations":[{"raw_affiliation_string":"School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui, 230036, China","institution_ids":["https://openalex.org/I140221134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I140221134"],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":{"value":3170,"currency":"USD","value_usd":3170},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41062498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"176","issue":null,"first_page":"114812","last_page":"114812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.22089999914169312,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.22089999914169312,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.1347000002861023,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.05400000140070915,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5555999875068665},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.545199990272522},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5008000135421753},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.47130000591278076},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.37380000948905945},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3547999858856201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9296000003814697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5900999903678894},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5555999875068665},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.545199990272522},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5331000089645386},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5008000135421753},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.47130000591278076},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33090001344680786},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.32659998536109924},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.2957000136375427},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.2892000079154968},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.28839999437332153}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.engappai.2026.114812","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114812","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.engappai.2026.114812","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114812","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G77226949","display_name":null,"funder_award_id":"2023AH050998","funder_id":"https://openalex.org/F4320326664","funder_display_name":"Anhui Provincial Department of Education"}],"funders":[{"id":"https://openalex.org/F4320326664","display_name":"Anhui Provincial Department of Education","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W144423133","https://openalex.org/W1996881001","https://openalex.org/W2023361805","https://openalex.org/W2074231493","https://openalex.org/W2106029302","https://openalex.org/W2128049108","https://openalex.org/W2145361279","https://openalex.org/W2165612380","https://openalex.org/W2888216133","https://openalex.org/W2898440040","https://openalex.org/W2962928958","https://openalex.org/W3033736933","https://openalex.org/W3041236926","https://openalex.org/W3048858802","https://openalex.org/W3085429933","https://openalex.org/W3093763138","https://openalex.org/W3093996932","https://openalex.org/W3117766849","https://openalex.org/W3126773939","https://openalex.org/W3136834909","https://openalex.org/W3139418566","https://openalex.org/W3143789190","https://openalex.org/W3180597373","https://openalex.org/W3195247250","https://openalex.org/W3206601677","https://openalex.org/W4220859562","https://openalex.org/W4223916839","https://openalex.org/W4234698323","https://openalex.org/W4283209287","https://openalex.org/W4285076853","https://openalex.org/W4293476626","https://openalex.org/W4307502334","https://openalex.org/W4320715969","https://openalex.org/W4383820630","https://openalex.org/W4386305887","https://openalex.org/W4391005914","https://openalex.org/W4391538422","https://openalex.org/W4392523524","https://openalex.org/W4393380917","https://openalex.org/W4395030761","https://openalex.org/W4396750532","https://openalex.org/W4399375163","https://openalex.org/W4402036549","https://openalex.org/W4408717270","https://openalex.org/W4410550436"],"related_works":[],"abstract_inverted_index":{"Accurately":[0],"predicting":[1],"microRNA-disease":[2],"associations":[3],"(MDAs)":[4],"is":[5,19],"crucial":[6],"for":[7,52,76,136],"identifying":[8],"biomarkers":[9],"and":[10,21,55,79,110,206,214,242],"therapeutic":[11],"targets":[12],"in":[13,56,145,222],"complex":[14],"diseases.":[15],"However,":[16],"experimental":[17],"validation":[18,229],"costly,":[20],"existing":[22,165],"computational":[23],"methods,":[24,194],"particularly":[25],"Graph":[26],"Neural":[27],"Networks":[28],"(GNNs),":[29],"are":[30],"limited":[31],"by":[32],"data":[33,125],"sparsity.":[34],"In":[35,208],"such":[36],"sparse":[37],"graphs,":[38],"the":[39,65,113,130,142,162,178,198,217,243],"lack":[40],"of":[41,204,246],"topological":[42],"connections":[43],"hinders":[44],"effective":[45],"message":[46],"passing,":[47],"leading":[48],"to":[49,82,132,140],"poor":[50],"performance":[51,221],"isolated":[53,108,247],"nodes":[54,95,102],"cold-start":[57,137,244],"scenarios.":[58],"To":[59],"address":[60],"these":[61],"challenges,":[62],"we":[63,86,116,148,171],"propose":[64],"adaptive":[66],"dynamic":[67,119,157],"heterogeneous":[68,90],"graph":[69,91],"attention":[70],"neural":[71],"network":[72],"(ADHGMDA),":[73],"a":[74,88,118,150,173],"framework":[75],"MDAs":[77],"prediction":[78],"analysis.":[80],"First,":[81],"resolve":[83],"connectivity":[84],"issues,":[85],"construct":[87],"dual-layer":[89],"enhanced":[92],"with":[93,156,182],"virtual":[94,101],"derived":[96],"via":[97],"K-means":[98],"clustering.":[99],"These":[100],"act":[103],"as":[104],"semantic":[105],"bridges,":[106],"integrating":[107],"microRNAs":[109],"diseases":[111],"into":[112],"network.":[114],"Second,":[115],"introduce":[117],"feature":[120],"learning":[121],"mechanism":[122],"that":[123,164,188,232],"simulates":[124],"sparsity":[126],"during":[127],"training,":[128],"forcing":[129],"model":[131,218],"learn":[133],"robust":[134],"representations":[135],"prediction.":[138],"Third,":[139],"mitigate":[141],"over-smoothing":[143],"common":[144],"deep":[146],"GNNs,":[147],"design":[149],"gradient":[151],"conflict-aware":[152],"multi-task":[153],"optimization":[154],"strategy":[155],"weight":[158],"adaptation.":[159],"Furthermore,":[160],"addressing":[161],"issue":[163],"benchmarks":[166],"rely":[167],"on":[168,177,211],"outdated":[169],"data,":[170],"reconstructed":[172],"benchmark":[174],"dataset":[175],"based":[176],"latest":[179],"databases,":[180],"integrated":[181],"visualization":[183],"tools.":[184],"Experimental":[185],"results":[186],"demonstrate":[187],"ADHGMDA":[189],"significantly":[190],"outperforms":[191],"seven":[192],"state-of-the-art":[193],"achieving":[195],"area":[196],"under":[197],"receiver":[199],"operating":[200],"characteristic":[201],"curve":[202],"scores":[203],"0.9698":[205],"0.9730.":[207],"case":[209],"studies":[210],"herpes":[212],"simplex":[213],"interstitial":[215],"nephritis,":[216],"exhibits":[219],"excellent":[220],"uncovering":[223],"potential":[224],"pathogenic":[225],"pathways.":[226],"Meanwhile,":[227],"extensive":[228],"experiments":[230],"confirm":[231],"it":[233],"has":[234],"good":[235],"robustness":[236],"against":[237],"label":[238],"noise,":[239],"class":[240],"imbalance,":[241],"problem":[245],"nodes.":[248]},"counts_by_year":[],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2026-04-12T00:00:00"}
