{"id":"https://openalex.org/W4390992214","doi":"https://doi.org/10.1109/bibm58861.2023.10385789","title":"Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases","display_name":"Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390992214","doi":"https://doi.org/10.1109/bibm58861.2023.10385789"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385789","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5057845577","display_name":"Nan Sheng","orcid":"https://orcid.org/0000-0002-0306-9009"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nan Sheng","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China","College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101463922","display_name":"Lan Huang","orcid":"https://orcid.org/0000-0003-3233-3777"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Huang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China","College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322699","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-4751-0708"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China","College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663333","display_name":"Ling Gao","orcid":"https://orcid.org/0000-0002-1704-6545"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Gao","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China","College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022806069","display_name":"Huiyan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyan Sun","raw_affiliation_strings":["Jilin University,School of Artificial Intelligence,Changchun,China","School of Artificial Intelligence, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,School of Artificial Intelligence,Changchun,China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"School of Artificial Intelligence, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101498841","display_name":"Xuping Xie","orcid":"https://orcid.org/0000-0002-3143-8262"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuping Xie","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology,Changchun,China","College of Computer Science and Technology, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology,Changchun,China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057845577"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53822583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"622","last_page":"629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":1.0,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":1.0,"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":0.9855999946594238,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9839000105857849,"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/computer-science","display_name":"Computer science","score":0.7772711515426636},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5763195753097534},{"id":"https://openalex.org/keywords/biological-data","display_name":"Biological data","score":0.546511709690094},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4937923848628998},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49271705746650696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47254228591918945},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4400210976600647},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42842841148376465},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4222470819950104},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3645362854003906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3620072305202484},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.2341204583644867},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10703882575035095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7772711515426636},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5763195753097534},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.546511709690094},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4937923848628998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49271705746650696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47254228591918945},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4400210976600647},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42842841148376465},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4222470819950104},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3645362854003906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3620072305202484},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2341204583644867},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10703882575035095},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385789","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":38,"referenced_works":["https://openalex.org/W2023940858","https://openalex.org/W2113868616","https://openalex.org/W2117977572","https://openalex.org/W2128983843","https://openalex.org/W2768096340","https://openalex.org/W2772618228","https://openalex.org/W2895679848","https://openalex.org/W2942942195","https://openalex.org/W2964015378","https://openalex.org/W2970249540","https://openalex.org/W2972020367","https://openalex.org/W3001440478","https://openalex.org/W3027711990","https://openalex.org/W3082139797","https://openalex.org/W3089123840","https://openalex.org/W3093996932","https://openalex.org/W3099929518","https://openalex.org/W3120280121","https://openalex.org/W3136834909","https://openalex.org/W3145754360","https://openalex.org/W3155248047","https://openalex.org/W3158143432","https://openalex.org/W3177710193","https://openalex.org/W3192705825","https://openalex.org/W3201260316","https://openalex.org/W4205614329","https://openalex.org/W4205923645","https://openalex.org/W4246271082","https://openalex.org/W4281553978","https://openalex.org/W4295242659","https://openalex.org/W4307502334","https://openalex.org/W4312195550","https://openalex.org/W4313406530","https://openalex.org/W4316038090","https://openalex.org/W4328099349","https://openalex.org/W4362594096","https://openalex.org/W6726873649","https://openalex.org/W6755573351"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Inferring":[0],"potential":[1,50,147],"relationships":[2,175,236],"among":[3,176],"long":[4],"non-coding":[5],"RNAs":[6],"(lncRNAs),":[7],"microRNAs":[8],"(miRNAs),":[9],"and":[10,21,57,71,85,103,150,158,173,179,202,230,259,290,316,334,342,348,364,369],"diseases":[11],"play":[12],"a":[13,33,139,183,216,261,274,293,296],"crucial":[14],"role":[15],"in":[16,73,295,338],"investigation":[17],"of":[18,28,80,89,100,122,133,192,234,283,305,319,356],"disease":[19,180],"aetiology":[20],"pathogenesis.":[22],"Due":[23],"to":[24,36,43,67,92,113,117,145,161,181,207,220,251,265,300,358],"the":[25,45,77,87,97,119,130,170,204,222,232,238,257,281,302,306,314,320,354,372],"high":[26,98],"cost":[27],"laboratory":[29],"experiments,":[30],"there":[31],"is":[32,107],"practical":[34],"requirement":[35],"develop":[37,138],"appropriate":[38],"computational":[39,111],"methods":[40,64,330],"that":[41,188,279,324],"promise":[42],"accelerate":[44],"experimental":[46],"screening":[47],"process":[48],"for":[49,109,371],"lncRNA-disease":[51],"associations":[52,55],"(LDAs),":[53],"miRNA-disease":[54],"(MDAs),":[56],"lncRNA-miRNA":[58],"interactions":[59],"(LMIs).":[60],"However,":[61],"most":[62],"existing":[63],"are":[65,375],"applied":[66],"predict":[68,266],"LDAs,":[69,148,267],"MDAs,":[70,149,268],"LMIs":[72,151],"specific":[74],"domains,":[75],"neglecting":[76],"important":[78],"benefits":[79],"integrating":[81],"multiple":[82],"sources":[83],"data":[84,201,368],"limiting":[86],"ability":[88,304],"transferring":[90],"models":[91,112],"other":[93,208],"tasks.":[94,210],"Furthermore,":[95],"with":[96],"sparsity":[99],"LDA,":[101],"MDA,":[102],"LMI":[104],"data,":[105],"it":[106],"difficult":[108],"many":[110],"exploit":[114],"enough":[115],"knowledge":[116],"learn":[118],"comprehensive":[120],"patterns":[121],"node":[123,164,253,284],"embedding.":[124],"In":[125,211],"this":[126],"study,":[127],"inspired":[128],"by":[129],"recent":[131],"success":[132],"graph":[134,186,226,245],"contrastive":[135,275],"learning,":[136],"we":[137,213,272],"Contrastive":[140],"Self-supervised":[141],"Graph":[142],"convolutional":[143,246],"network":[144,228,247],"identify":[146],"(called":[152],"CSGLMD).":[153],"CSGLMD":[154,167,243,325,357],"combines":[155],"supervised":[156],"learning":[157,160,277,282,298],"self-supervised":[159,276],"fully":[162],"capture":[163],"features.":[165],"Specifically,":[166],"primarily":[168],"leverages":[169],"rich":[171],"association":[172],"similarity":[174,235],"lncRNA,":[177],"miRNA,":[178],"construct":[182],"lncRNA-miRNA-disease":[184],"heterogeneous":[185],"(LMDHG)":[187],"contains":[189],"three":[190],"types":[191],"biological":[193,200,240],"entities.":[194,241],"It":[195],"can":[196,351],"effectively":[197],"embed":[198],"multi-source":[199],"assist":[203],"model":[205,374],"extension":[206],"prediction":[209,333],"addition,":[212],"consider":[214],"applying":[215],"label":[217],"instantiation":[218],"mechanism":[219],"make":[221],"LMDHG":[223],"better":[224],"adapt":[225],"neural":[227],"structures":[229],"control":[231],"strength":[233],"between":[237],"same":[239],"Secondly,":[242],"implements":[244],"(GCN)":[248],"as":[249,292],"encoder":[250],"extract":[252],"embedding":[254],"features":[255],"from":[256],"LMDHG,":[258],"utilizes":[260],"multi-relational":[262],"modelling":[263],"decoder":[264],"or":[269],"LMIs.":[270],"Finally,":[271],"designed":[273],"task":[278],"guides":[280],"embeddings":[285],"without":[286],"relying":[287],"on":[288,310,346,378],"labels,":[289],"acts":[291],"regularize":[294],"multi-task":[297],"paradigm":[299],"enhance":[301],"generalization":[303],"model.":[307],"Extensive":[308],"results":[309],"two":[311],"datasets":[312,350],"(from":[313],"old":[315,347],"new":[317,349,361],"versions":[318],"database,":[321],"respectively)":[322],"show":[323],"significantly":[326],"outperforms":[327],"12":[328],"state-of-the-art":[329],"(5":[331],"LDA":[332],"7":[335],"MDA":[336],"prediction)":[337],"predicting":[339],"disease-associated":[340],"lncRNAs":[341,363],"miRNAs.":[343,365],"Case":[344],"studies":[345],"further":[352],"demonstrate":[353],"capability":[355],"discover":[359],"disease-related":[360],"candidate":[362],"The":[366],"source":[367],"code":[370],"proposed":[373],"publicly":[376],"available":[377],"https://github.com/sheng-n/CSGLMD.":[379]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}