{"id":"https://openalex.org/W4320857183","doi":"https://doi.org/10.1093/bib/bbac623","title":"MSGCL: inferring miRNA\u2013disease associations based on multi-view self-supervised graph structure contrastive learning","display_name":"MSGCL: inferring miRNA\u2013disease associations based on multi-view self-supervised graph structure contrastive learning","publication_year":2023,"publication_date":"2023-02-15","ids":{"openalex":"https://openalex.org/W4320857183","doi":"https://doi.org/10.1093/bib/bbac623","pmid":"https://pubmed.ncbi.nlm.nih.gov/36790856"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbac623","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbac623","pdf_url":"https://academic.oup.com/bib/article-pdf/24/2/bbac623/49559955/bbac623.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bib/article-pdf/24/2/bbac623/49559955/bbac623.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073463369","display_name":"Xinru Ruan","orcid":"https://orcid.org/0000-0001-8941-9286"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinru Ruan","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University , Xiamen 361005 , China"],"raw_orcid":"https://orcid.org/0000-0001-8941-9286","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University , Xiamen 361005 , China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102860037","display_name":"Changzhi Jiang","orcid":"https://orcid.org/0000-0003-0765-6320"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changzhi Jiang","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University , Xiamen 361005 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University , Xiamen 361005 , China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016715990","display_name":"Peixuan Lin","orcid":"https://orcid.org/0000-0001-8825-1135"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peixuan Lin","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University , Xiamen 361005 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University , Xiamen 361005 , China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754379","display_name":"Yuan Lin","orcid":"https://orcid.org/0000-0002-6974-8856"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Lin","raw_affiliation_strings":["Department of School of Aeronautics and Astronautics, Xiamen University , Xiamen 361005 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of School of Aeronautics and Astronautics, Xiamen University , Xiamen 361005 , China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446313","display_name":"Juan Liu","orcid":"https://orcid.org/0000-0002-8623-9738"},"institutions":[{"id":"https://openalex.org/I2800207870","display_name":"H\u00f8yskolen Kristiania","ror":"https://ror.org/03gss5916","country_code":"NO","type":"education","lineage":["https://openalex.org/I2800207870"]},{"id":"https://openalex.org/I3109867330","display_name":"Innovation Norway (Norway)","ror":"https://ror.org/00p941317","country_code":"NO","type":"company","lineage":["https://openalex.org/I3109867330"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Juan Liu","raw_affiliation_strings":["Kristiania University college , innovation, and technology, , Norway","School of economics , innovation, and technology, , Norway","School of economics, innovation, and technology, Kristiania University college, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kristiania University college , innovation, and technology, , Norway","institution_ids":["https://openalex.org/I2800207870"]},{"raw_affiliation_string":"School of economics , innovation, and technology, , Norway","institution_ids":["https://openalex.org/I3109867330"]},{"raw_affiliation_string":"School of economics, innovation, and technology, Kristiania University college, Norway","institution_ids":["https://openalex.org/I2800207870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102101739","display_name":"Shaohui Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Huang","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University , Xiamen 361005 , China","National Institute for Data Science in Health and Medicine, Xiamen University , Xiamen 361005 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University , Xiamen 361005 , China","institution_ids":["https://openalex.org/I75867142"]},{"raw_affiliation_string":"National Institute for Data Science in Health and Medicine, Xiamen University , Xiamen 361005 , China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026771763","display_name":"Xiangrong Liu","orcid":"https://orcid.org/0000-0001-9885-1978"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangrong Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University , Xiamen 361005 , China","National Institute for Data Science in Health and Medicine, Xiamen University , Xiamen 361005 , China"],"raw_orcid":"https://orcid.org/0000-0001-9885-1978","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University , Xiamen 361005 , China","institution_ids":["https://openalex.org/I75867142"]},{"raw_affiliation_string":"National Institute for Data Science in Health and Medicine, Xiamen University , Xiamen 361005 , China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026771763"],"corresponding_institution_ids":["https://openalex.org/I191208505","https://openalex.org/I75867142"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":3.8901,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95250833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"24","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10062","display_name":"MicroRNA in disease regulation","score":0.9998999834060669,"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":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11482","display_name":"RNA modifications and cancer","score":0.9984999895095825,"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":0.7610894441604614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5978025794029236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5903398990631104},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5863942503929138},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.5731126666069031},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4445376992225647},{"id":"https://openalex.org/keywords/association-scheme","display_name":"Association scheme","score":0.425246000289917},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4173526465892792},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24792909622192383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09216317534446716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610894441604614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5978025794029236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5903398990631104},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5863942503929138},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.5731126666069031},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4445376992225647},{"id":"https://openalex.org/C73361133","wikidata":"https://www.wikidata.org/wiki/Q4810150","display_name":"Association scheme","level":2,"score":0.425246000289917},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4173526465892792},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24792909622192383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09216317534446716},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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:10.1093/bib/bbac623","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbac623","pdf_url":"https://academic.oup.com/bib/article-pdf/24/2/bbac623/49559955/bbac623.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:36790856","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36790856","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":"Briefings in bioinformatics","raw_type":null}],"best_oa_location":{"id":"doi:10.1093/bib/bbac623","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbac623","pdf_url":"https://academic.oup.com/bib/article-pdf/24/2/bbac623/49559955/bbac623.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5091875258","display_name":"\u57fa\u4e8e\u8d28\u7c92\u548c\u83cc\u843d\u6f14\u5316\u7684\u4f53\u5185\u8ba1\u7b97\u7814\u7a76","funder_award_id":"61872309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6312213820","display_name":"\u764c\u75c7miRNA\u8868\u8fbe\u8c31\u4e2d\u7684\u591aisomiR\u76f8\u4e92\u4f5c\u7528\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072385","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8390325463","display_name":"\u57fa\u4e8e\u566c\u83cc\u4f53\u548c\u8d28\u7c92\u7684\u795e\u7ecf\u819c\u7cfb\u7edf\u7814\u7a76","funder_award_id":"61772441","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8971624103","display_name":null,"funder_award_id":"62072384","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4320857183.pdf","grobid_xml":"https://content.openalex.org/works/W4320857183.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1436642346","https://openalex.org/W2074231493","https://openalex.org/W2101293029","https://openalex.org/W2118814218","https://openalex.org/W2141222510","https://openalex.org/W2141792156","https://openalex.org/W2242161203","https://openalex.org/W2313125707","https://openalex.org/W2555897561","https://openalex.org/W2590492570","https://openalex.org/W2592189645","https://openalex.org/W2601934706","https://openalex.org/W2750900465","https://openalex.org/W2765950793","https://openalex.org/W2780584018","https://openalex.org/W2809363952","https://openalex.org/W2888358121","https://openalex.org/W2898440040","https://openalex.org/W2899728356","https://openalex.org/W2902246085","https://openalex.org/W2919115771","https://openalex.org/W2924719072","https://openalex.org/W2944230847","https://openalex.org/W2948012107","https://openalex.org/W2950777612","https://openalex.org/W2983166786","https://openalex.org/W2994851090","https://openalex.org/W3000082418","https://openalex.org/W3005680577","https://openalex.org/W3012816161","https://openalex.org/W3036106327","https://openalex.org/W3081203761","https://openalex.org/W3082620742","https://openalex.org/W3094497296","https://openalex.org/W3120280121","https://openalex.org/W3135138557","https://openalex.org/W3146565636","https://openalex.org/W3156650687","https://openalex.org/W3157330827","https://openalex.org/W4206703149","https://openalex.org/W4221166060","https://openalex.org/W4246271082","https://openalex.org/W4255156463","https://openalex.org/W4256361765","https://openalex.org/W4287330167","https://openalex.org/W4294376371","https://openalex.org/W6628376853","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6730323794","https://openalex.org/W6760886919","https://openalex.org/W6763416564","https://openalex.org/W6774101721","https://openalex.org/W6774314701","https://openalex.org/W6779462361","https://openalex.org/W6788662357","https://openalex.org/W6791375057","https://openalex.org/W6836575638"],"related_works":["https://openalex.org/W2095059320","https://openalex.org/W1224313471","https://openalex.org/W3197326322","https://openalex.org/W2048240552","https://openalex.org/W2005838129","https://openalex.org/W2171569252","https://openalex.org/W3122761303","https://openalex.org/W4229705064","https://openalex.org/W2054051424","https://openalex.org/W599879082"],"abstract_inverted_index":{"Potential":[0],"miRNA-disease":[1],"associations":[2],"(MDA)":[3],"play":[4],"an":[5,20,106],"important":[6],"role":[7],"in":[8,24,178],"the":[9,25,56,71,100,114,129,132,157,181,190],"discovery":[10],"of":[11,27,58,92,160],"complex":[12],"human":[13],"disease":[14],"etiology.":[15],"Therefore,":[16],"MDA":[17,64,81],"prediction":[18],"is":[19,70,139],"attractive":[21],"research":[22],"topic":[23],"field":[26],"biomedical":[28],"machine":[29],"learning.":[30],"Recently,":[31],"several":[32],"models":[33],"have":[34],"been":[35],"proposed":[36,169],"for":[37,80,113,150],"this":[38],"task,":[39],"but":[40],"their":[41],"performance":[42],"limited":[43],"by":[44,122,174],"over-reliance":[45],"on":[46],"relevant":[47],"network":[48,103],"information":[49],"with":[50],"noisy":[51],"graph":[52,60,118,153],"structure":[53,61,119],"connections.":[54],"However,":[55],"application":[57],"self-supervised":[59,76],"learning":[62,78],"to":[63,73,104,127,141],"tasks":[65,149],"remains":[66],"unexplored.":[67],"Our":[68,137],"study":[69],"first":[72],"use":[74],"multi-view":[75],"contrastive":[77,125],"(MSGCL)":[79],"prediction.":[82],"Specifically,":[83],"we":[84],"generated":[85],"a":[86,124,142],"learner":[87,115,135],"view":[88,108],"without":[89],"association":[90,102,152,161],"labels":[91],"miRNAs":[93],"and":[94,98,134,176,187],"diseases":[95],"as":[96],"input,":[97],"utilized":[99],"known":[101],"generate":[105],"anchor":[107,133],"that":[109,145,167],"provides":[110],"guiding":[111],"signals":[112],"view.":[116],"The":[117,163],"was":[120],"optimized":[121],"designing":[123],"loss":[126],"maximize":[128],"consistency":[130],"between":[131],"views.":[136],"model":[138,144],"similar":[140],"pre-trained":[143],"continuously":[146],"optimizes":[147],"upstream":[148],"high-quality":[151],"topology,":[154],"thereby":[155],"enhancing":[156],"latent":[158],"representation":[159],"predictions.":[162],"experimental":[164],"results":[165],"show":[166],"our":[168],"method":[170],"outperforms":[171],"state-of-the-art":[172],"methods":[173],"2.79$\\%$":[175],"3.20$\\%$":[177],"area":[179,188],"under":[180,189],"receiver":[182],"operating":[183],"characteristic":[184],"curve":[185,192],"(AUC)":[186],"precision/recall":[191],"(AUPR),":[193],"respectively.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}