{"id":"https://openalex.org/W4391582532","doi":"https://doi.org/10.1109/jbhi.2024.3363080","title":"Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction","display_name":"Hierarchical and Dynamic Graph Attention Network for Drug-Disease Association Prediction","publication_year":2024,"publication_date":"2024-02-06","ids":{"openalex":"https://openalex.org/W4391582532","doi":"https://doi.org/10.1109/jbhi.2024.3363080","pmid":"https://pubmed.ncbi.nlm.nih.gov/38319783"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3363080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3363080","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/A5103183638","display_name":"Huang Shu-han","orcid":"https://orcid.org/0009-0005-7948-3168"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuhan Huang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0005-7948-3168","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101997076","display_name":"Minhui Wang","orcid":"https://orcid.org/0000-0003-4487-7747"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Minhui Wang","raw_affiliation_strings":["Department of Pharmacy, Lianshui People's Hospital of Kangda College Affiliated to Medical University, Huai'an, China"],"raw_orcid":"https://orcid.org/0000-0003-4487-7747","affiliations":[{"raw_affiliation_string":"Department of Pharmacy, Lianshui People's Hospital of Kangda College Affiliated to Medical University, Huai'an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652153","display_name":"Xiao Zheng","orcid":"https://orcid.org/0000-0002-5843-9206"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zheng","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5843-9206","affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400987","display_name":"Jiajia Chen","orcid":"https://orcid.org/0000-0001-5554-6332"},"institutions":[{"id":"https://openalex.org/I177388780","display_name":"Xuzhou Medical College","ror":"https://ror.org/04fe7hy80","country_code":"CN","type":"education","lineage":["https://openalex.org/I177388780"]},{"id":"https://openalex.org/I4210124997","display_name":"Second People\u2019s Hospital of Huai\u2019an","ror":"https://ror.org/02sqxcg48","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Chen","raw_affiliation_strings":["Department of Pharmacy, The Affiliated Huai'an Hospital of Xuzhou Medical University, Xuzhou, China","The Second People's Hospital of Huai'an, Huai'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5554-6332","affiliations":[{"raw_affiliation_string":"Department of Pharmacy, The Affiliated Huai'an Hospital of Xuzhou Medical University, Xuzhou, China","institution_ids":["https://openalex.org/I177388780"]},{"raw_affiliation_string":"The Second People's Hospital of Huai'an, Huai'an, China","institution_ids":["https://openalex.org/I177388780","https://openalex.org/I4210124997"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033240507","display_name":"Chang Tang","orcid":"https://orcid.org/0000-0002-6515-7696"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Tang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6515-7696","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103183638"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":13.4823,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.99164207,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"28","issue":"4","first_page":"2416","last_page":"2427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9574000239372253,"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"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9430999755859375,"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":0.7706279754638672},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5781925916671753},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4668830931186676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45902901887893677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44414612650871277},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.43072861433029175},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4212651252746582},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3836570978164673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3773685693740845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706279754638672},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5781925916671753},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4668830931186676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45902901887893677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44414612650871277},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.43072861433029175},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4212651252746582},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3836570978164673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3773685693740845},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3363080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3363080","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:38319783","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38319783","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":[{"id":"https://metadata.un.org/sdg/3","score":0.41999998688697815,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G5816263883","display_name":null,"funder_award_id":"62076228","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2018518196","https://openalex.org/W2055887627","https://openalex.org/W2110161339","https://openalex.org/W2139438973","https://openalex.org/W2141222510","https://openalex.org/W2153325973","https://openalex.org/W2302255633","https://openalex.org/W2410299567","https://openalex.org/W2623520931","https://openalex.org/W2771758625","https://openalex.org/W2790385355","https://openalex.org/W2809156537","https://openalex.org/W2830481067","https://openalex.org/W2910187721","https://openalex.org/W2913411021","https://openalex.org/W2915806464","https://openalex.org/W2920898473","https://openalex.org/W2946099214","https://openalex.org/W2959176742","https://openalex.org/W2964051675","https://openalex.org/W2965857891","https://openalex.org/W3000082418","https://openalex.org/W3007075806","https://openalex.org/W3010110722","https://openalex.org/W3017228204","https://openalex.org/W3047791393","https://openalex.org/W3093030756","https://openalex.org/W3094547167","https://openalex.org/W3106165797","https://openalex.org/W3126516421","https://openalex.org/W3163741274","https://openalex.org/W3199656240","https://openalex.org/W3205106126","https://openalex.org/W4211087970","https://openalex.org/W4296311649","https://openalex.org/W4367849720","https://openalex.org/W4385288794","https://openalex.org/W4385767936","https://openalex.org/W4387346540","https://openalex.org/W4388505180","https://openalex.org/W4389325595","https://openalex.org/W6631190155","https://openalex.org/W6714669869","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6765660920","https://openalex.org/W6797464607","https://openalex.org/W6858560741"],"related_works":["https://openalex.org/W4229078645","https://openalex.org/W1977345676","https://openalex.org/W4282032776","https://openalex.org/W2047552823","https://openalex.org/W4321606905","https://openalex.org/W3130445735","https://openalex.org/W2105110616","https://openalex.org/W4297905891","https://openalex.org/W2169890516","https://openalex.org/W4323542959"],"abstract_inverted_index":{"In":[0],"the":[1,5,26,51,97,109,127,170,198,212,225,237],"realm":[2],"of":[3,7,24,99,111,185,214,227,240],"biomedicine,":[4],"prediction":[6,30,63],"associations":[8,208],"between":[9,54,138,146],"drugs":[10,55,152],"and":[11,32,42,56,71,76,101,104,115,141,153,169],"diseases":[12,57],"holds":[13],"significant":[14],"importance.":[15],"Yet,":[16],"conventional":[17],"wet":[18],"lab":[19],"experiments":[20],"often":[21],"fall":[22],"short":[23],"meeting":[25],"stringent":[27],"demands":[28],"for":[29,61,151,188],"accuracy":[31],"efficiency.":[33],"Many":[34],"prior":[35],"studies":[36],"have":[37],"predominantly":[38],"focused":[39],"on":[40],"drug":[41,100],"disease":[43,102],"similarities":[44,103],"to":[45,85,122,148,162,196],"predict":[46,86],"drug-disease":[47,87,207,244],"associations,":[48],"but":[49],"overlooking":[50],"crucial":[52],"interactions":[53],"that":[58],"are":[59,209],"essential":[60],"enhancing":[62],"accuracy.":[64],"Hence,":[65],"in":[66,201,242],"this":[67],"paper,":[68],"a":[69,92,134,142],"resilient":[70],"effective":[72],"model":[73],"named":[74],"Hierarchical":[75],"Dynamic":[77],"Graph":[78],"Attention":[79],"Network":[80],"(HDGAT)":[81],"has":[82],"been":[83],"proposed":[84],"associations.":[88,105,245],"Firstly,":[89],"it":[90,107,132,192],"establishes":[91],"heterogeneous":[93,128],"graph":[94,112,129,202],"by":[95,178],"leveraging":[96],"interplay":[98],"Subsequently,":[106],"harnesses":[108],"capabilities":[110],"convolutional":[113,139,167],"networks":[114,120],"bidirectional":[116],"long":[117],"short-term":[118],"memory":[119],"(Bi-LSTM)":[121],"aggregate":[123],"node-level":[124],"information":[125,177],"within":[126],"comprehensively.":[130],"Furthermore,":[131],"incorporates":[133],"hierarchical":[135,156],"attention":[136,144,157,172,186],"mechanism":[137,145,158,173],"layers":[140],"dynamic":[143,171],"nodes":[147],"learn":[149],"embeddings":[150,163,216],"diseases.":[154],"The":[155,205],"assigns":[159],"varying":[160,183],"weights":[161],"learned":[164],"from":[165],"different":[166],"layers,":[168],"efficiently":[174],"prioritizes":[175],"inter-node":[176],"allocating":[179],"each":[180],"node":[181],"with":[182],"rankings":[184],"coefficients":[187],"neighbour":[189],"nodes.":[190],"Moreover,":[191],"employs":[193],"residual":[194],"connections":[195],"alleviate":[197],"over-smoothing":[199],"issue":[200],"convolution":[203],"operations.":[204],"latent":[206],"quantified":[210],"through":[211],"fusion":[213],"these":[215],"ultimately.":[217],"By":[218],"conducting":[219],"5-fold":[220],"cross-validation,":[221],"HDGAT's":[222],"performance":[223,226],"surpasses":[224],"existing":[228],"state-of-the-art":[229],"models":[230],"across":[231],"various":[232],"evaluation":[233],"metrics,":[234],"which":[235],"substantiates":[236],"exceptional":[238],"efficacy":[239],"HDGAT":[241],"predicting":[243]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}