{"id":"https://openalex.org/W3004675504","doi":"https://doi.org/10.1109/bibm47256.2019.8983191","title":"Predicting Disease-related RNA Associations based on Graph Convolutional Attention Network","display_name":"Predicting Disease-related RNA Associations based on Graph Convolutional Attention Network","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3004675504","doi":"https://doi.org/10.1109/bibm47256.2019.8983191","mag":"3004675504"},"language":"en","primary_location":{"id":"doi:10.1109/bibm47256.2019.8983191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100706289","display_name":"Jinli Zhang","orcid":"https://orcid.org/0000-0001-5805-3824"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinli Zhang","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569677","display_name":"Xiaohua Hu","orcid":"https://orcid.org/0000-0001-6942-490X"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohua Hu","raw_affiliation_strings":["College of Computing and Informatics, nDrexel University,Philadelphia,USA","College of Computing and Informatics, nDrexel University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, nDrexel University,Philadelphia,USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"College of Computing and Informatics, nDrexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049730095","display_name":"Zongli Jiang","orcid":"https://orcid.org/0000-0001-8739-736X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongli Jiang","raw_affiliation_strings":["Beijing University of Technology,Faculty of Information Technology,Beijing,China","Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Technology,Faculty of Information Technology,Beijing,China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068396932","display_name":"Bo Song","orcid":"https://orcid.org/0000-0003-1600-5140"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Song","raw_affiliation_strings":["College of Computing and Informatics, Drexel University,Philadelphia,USA","College of Computing and Informatics, Drexel University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Drexel University,Philadelphia,USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"College of Computing and Informatics, Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082147952","display_name":"Wei Quan","orcid":"https://orcid.org/0000-0002-0934-8324"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Quan","raw_affiliation_strings":["College of Computing and Informatics, Drexel University,Philadelphia,USA","College of Computing and Informatics, Drexel University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Drexel University,Philadelphia,USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"College of Computing and Informatics, Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370647","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0002-0931-0537"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["College of Computing and Informatics, Drexel University,Philadelphia,USA","College of Computing and Informatics, Drexel University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Drexel University,Philadelphia,USA","institution_ids":["https://openalex.org/I72816309"]},{"raw_affiliation_string":"College of Computing and Informatics, Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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":0.9994000196456909,"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":0.9993000030517578,"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":0.6946112513542175},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.6640170812606812},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5422589778900146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4790431261062622},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46679386496543884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45896363258361816},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43205779790878296},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4244105815887451},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4070557951927185},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28508731722831726},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2311776578426361},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.21364077925682068},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12243011593818665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6946112513542175},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.6640170812606812},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5422589778900146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4790431261062622},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46679386496543884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45896363258361816},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43205779790878296},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4244105815887451},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4070557951927185},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28508731722831726},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2311776578426361},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.21364077925682068},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12243011593818665},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm47256.2019.8983191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8983191","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1436642346","https://openalex.org/W1964731342","https://openalex.org/W1977697731","https://openalex.org/W2000833392","https://openalex.org/W2022732522","https://openalex.org/W2039816251","https://openalex.org/W2057094700","https://openalex.org/W2070777085","https://openalex.org/W2075860675","https://openalex.org/W2091130596","https://openalex.org/W2099033223","https://openalex.org/W2113525941","https://openalex.org/W2118814218","https://openalex.org/W2129158737","https://openalex.org/W2133564696","https://openalex.org/W2138664009","https://openalex.org/W2148629421","https://openalex.org/W2152970345","https://openalex.org/W2158135353","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2184045248","https://openalex.org/W2519887557","https://openalex.org/W2751893085","https://openalex.org/W2782571367","https://openalex.org/W2919115771","https://openalex.org/W2940243131","https://openalex.org/W2963017945","https://openalex.org/W2963084622","https://openalex.org/W2964015378","https://openalex.org/W2964308564","https://openalex.org/W4246271082","https://openalex.org/W4297733535","https://openalex.org/W6684191040","https://openalex.org/W6747954111"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2964954556","https://openalex.org/W4285218279"],"abstract_inverted_index":{"Accumulating":[0],"evidence":[1],"has":[2],"demonstrated":[3],"that":[4,186],"RNAs":[5,23],"play":[6],"an":[7],"important":[8],"role":[9],"in":[10,65,155,196],"identifying":[11],"various":[12],"complex":[13,58],"human":[14,59],"diseases.":[15],"However,":[16],"the":[17,96,111,131,140,148,152,162],"number":[18],"of":[19,91,98,117,151,164,178],"known":[20],"disease":[21],"related":[22],"is":[24,52,135,138],"still":[25],"small":[26],"and":[27,33,49,70,124,175],"many":[28],"biological":[29],"experiments":[30,168],"are":[31],"time-consuming":[32],"labor-intensive.":[34],"Therefore,":[35],"researchers":[36],"have":[37],"focused":[38],"on":[39,169],"developing":[40],"useful":[41,53],"computational":[42],"algorithms":[43],"to":[44,56,84,103,143,146,160],"predict":[45,85],"associations":[46],"between":[47],"diseases":[48,60,66],"RNAs.":[50],"It":[51],"for":[54],"people":[55],"identify":[57],"at":[61,139],"molecular":[62],"level,":[63],"especially":[64],"diagnosis,":[67],"therapy,":[68],"prognosis":[69],"monitoring.":[71],"In":[72,158],"this":[73],"paper,":[74],"we":[75,166],"propose":[76],"a":[77,193],"novel":[78,188],"framework":[79],"Graph":[80],"Convolutional":[81],"Attention":[82],"Network(GCAN)":[83],"potential":[86,197],"disease-RNAs":[87,105,118,156,172,183,198],"associations.":[88,199],"Facing":[89],"thousands":[90],"associations,":[92],"GCAN":[93,109,137],"benefits":[94],"from":[95,114],"efficiency":[97],"deep":[99],"learning":[100],"model.":[101],"Compared":[102],"other":[104],"association":[106],"prediction":[107],"methods,":[108],"operates":[110],"computation":[112],"process":[113],"global":[115],"structure":[116],"network":[119],"with":[120,130],"graph":[121],"convolution":[122],"networks(GCN)":[123],"can":[125],"also":[126],"integrate":[127],"local":[128],"neighborhoods":[129],"attention":[132],"mechanism.":[133],"What":[134],"more,":[136],"first":[141],"attempt":[142],"utilize":[144],"GCN":[145],"discover":[147],"feature":[149],"representation":[150],"latent":[153],"nodes":[154],"network.":[157],"order":[159],"evaluate":[161],"performance":[163],"GCAN,":[165],"conduct":[167],"two":[170],"different":[171],"networks:":[173],"disease-miRNA":[174],"disease-lncRNA.":[176],"Comparisons":[177],"several":[179],"state-of-the-art":[180],"methods":[181],"using":[182],"networks":[184],"show":[185],"our":[187],"frameworks":[189],"outperform":[190],"baselines":[191],"by":[192],"wide":[194],"margin":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}