{"id":"https://openalex.org/W3201821663","doi":"https://doi.org/10.1109/tcbb.2021.3116318","title":"MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network","display_name":"MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network","publication_year":2021,"publication_date":"2021-09-29","ids":{"openalex":"https://openalex.org/W3201821663","doi":"https://doi.org/10.1109/tcbb.2021.3116318","mag":"3201821663","pmid":"https://pubmed.ncbi.nlm.nih.gov/34587092"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2021.3116318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3116318","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"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/ACM Transactions on Computational Biology and Bioinformatics","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/A5016677423","display_name":"Dayun Liu","orcid":"https://orcid.org/0000-0002-3340-2431"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dayun Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-3340-2431","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738702","display_name":"Junyi Liu","orcid":"https://orcid.org/0000-0001-6276-8240"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junyi Liu","raw_affiliation_strings":["Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024359965","display_name":"Yi Luo","orcid":"https://orcid.org/0000-0002-5488-4724"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Yi Luo","raw_affiliation_strings":["Faculty of Science, The University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science, The University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102274345","display_name":"Qihua He","orcid":null},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihua He","raw_affiliation_strings":["School of Software, Xinjiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085608332","display_name":"Lei Deng","orcid":"https://orcid.org/0000-0003-2869-1619"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Deng","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0003-2869-1619","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0618,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.87926975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"19","issue":"6","first_page":"3578","last_page":"3585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9943000078201294,"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"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9943000078201294,"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/T10066","display_name":"Gut microbiota and health","score":0.9872999787330627,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9832000136375427,"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/component","display_name":"Component (thermodynamics)","score":0.6447204947471619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4365580081939697},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42622363567352295},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18893948197364807},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0738632082939148}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6447204947471619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4365580081939697},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42622363567352295},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18893948197364807},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0738632082939148},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2021.3116318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2021.3116318","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"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/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:34587092","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34587092","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/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1971415551","https://openalex.org/W1997742538","https://openalex.org/W2012239785","https://openalex.org/W2012606594","https://openalex.org/W2075363951","https://openalex.org/W2084793748","https://openalex.org/W2128769815","https://openalex.org/W2131415145","https://openalex.org/W2142474397","https://openalex.org/W2161548174","https://openalex.org/W2173913502","https://openalex.org/W2239108612","https://openalex.org/W2322763599","https://openalex.org/W2359747920","https://openalex.org/W2544493586","https://openalex.org/W2567465856","https://openalex.org/W2576112076","https://openalex.org/W2590194234","https://openalex.org/W2739664659","https://openalex.org/W2751128104","https://openalex.org/W2752131265","https://openalex.org/W2765928324","https://openalex.org/W2803434593","https://openalex.org/W2807176368","https://openalex.org/W2892502396","https://openalex.org/W2901312953","https://openalex.org/W2988135813","https://openalex.org/W2998101974","https://openalex.org/W3020929333","https://openalex.org/W3034046925","https://openalex.org/W3037489518","https://openalex.org/W3045879648","https://openalex.org/W3080286031","https://openalex.org/W3094448726","https://openalex.org/W3116604690","https://openalex.org/W3119762536","https://openalex.org/W3119962804","https://openalex.org/W4211248483","https://openalex.org/W6731933549"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Microbes":[0],"are":[1,58,208],"parasitic":[2],"in":[3,12,135,201],"various":[4],"human":[5],"body":[6],"organs":[7],"and":[8,34,48,65,118,127],"play":[9],"significant":[10],"roles":[11],"a":[13,76,95,113,167],"wide":[14],"range":[15],"of":[16,26,36,116,199],"diseases.":[17,119],"Identifying":[18],"microbe-disease":[19,107,204],"associations":[20],"is":[21,50,74,110,171],"conducive":[22],"to":[23,42,83,139,156,173],"the":[24,31,44,66,87,133,136,141,197],"identification":[25],"potential":[27,203],"drug":[28],"targets.":[29],"Considering":[30],"high":[32],"cost":[33],"risk":[35],"biological":[37],"experiments,":[38],"developing":[39],"computational":[40],"approaches":[41],"explore":[43],"relationship":[45],"between":[46],"microbes":[47,117],"diseases":[49,194],"an":[51],"alternative":[52],"choice.":[53],"However,":[54],"most":[55,80],"existing":[56],"methods":[57,82],"based":[59,101],"on":[60,112],"unreliable":[61],"or":[62],"noisy":[63],"similarity,":[64],"prediction":[67,161],"accuracy":[68],"could":[69],"be":[70],"affected.":[71],"Besides,":[72],"it":[73],"still":[75],"great":[77],"challenge":[78],"for":[79,86,105,160,191],"previous":[81],"make":[84],"predictions":[85],"large-scale":[88],"dataset.":[89],"In":[90],"this":[91],"work,":[92],"we":[93],"develop":[94],"multi-component":[96],"Graph":[97],"Attention":[98],"Network":[99],"(GAT)":[100],"framework,":[102],"termed":[103],"MGATMDA,":[104],"predicting":[106,202],"associations.":[108,177,205],"MGATMDA":[109,200],"built":[111],"bipartite":[114,137],"graph":[115,138],"It":[120],"contains":[121],"three":[122],"essential":[123],"parts:":[124],"decomposer,":[125],"combiner,":[126],"predictor.":[128],"The":[129,148,206],"decomposer":[130],"first":[131],"decomposes":[132],"edges":[134],"identify":[140],"latent":[142,153],"components":[143,154],"by":[144,162],"node-level":[145],"attention":[146,164],"mechanism.":[147,165],"combiner":[149],"then":[150],"recombines":[151],"these":[152],"automatically":[155],"obtain":[157],"unified":[158],"embedding":[159],"component-level":[163],"Finally,":[166],"fully":[168],"connected":[169],"network":[170],"used":[172],"predict":[174],"unknown":[175],"microbes-disease":[176],"Experimental":[178],"results":[179],"showed":[180],"that":[181],"our":[182],"proposed":[183],"method":[184],"outperformed":[185],"eight":[186],"state-of-the-art":[187],"methods.":[188],"Case":[189],"studies":[190],"two":[192],"common":[193],"further":[195],"demonstrated":[196],"effectiveness":[198],"codes":[207],"available":[209],"at":[210],"Github":[211],"https://github.com/dayunliu/MGATMDA.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
