{"id":"https://openalex.org/W4392568106","doi":"https://doi.org/10.1145/3638569.3638576","title":"Predicted Drug-Drug Interactions in Diabetes Mellitus with Graph Convolutional Autoencoder","display_name":"Predicted Drug-Drug Interactions in Diabetes Mellitus with Graph Convolutional Autoencoder","publication_year":2023,"publication_date":"2023-12-11","ids":{"openalex":"https://openalex.org/W4392568106","doi":"https://doi.org/10.1145/3638569.3638576"},"language":"en","primary_location":{"id":"doi:10.1145/3638569.3638576","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638569.3638576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics","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/A5094093823","display_name":"Rashini Maduka","orcid":null},"institutions":[{"id":"https://openalex.org/I90678064","display_name":"University of Colombo","ror":"https://ror.org/02phn5242","country_code":"LK","type":"education","lineage":["https://openalex.org/I90678064"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Rashini Maduka","raw_affiliation_strings":["School of Computing, University of Colombo, SriLanka"],"raw_orcid":"https://orcid.org/0009-0003-2807-7624","affiliations":[{"raw_affiliation_string":"School of Computing, University of Colombo, SriLanka","institution_ids":["https://openalex.org/I90678064"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012845416","display_name":"Rupika Wijesinghe","orcid":"https://orcid.org/0000-0001-8915-7829"},"institutions":[{"id":"https://openalex.org/I90678064","display_name":"University of Colombo","ror":"https://ror.org/02phn5242","country_code":"LK","type":"education","lineage":["https://openalex.org/I90678064"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Rupika Wijesinghe","raw_affiliation_strings":["School of Computing, University of Colombo, SriLanka"],"raw_orcid":"https://orcid.org/0000-0001-8915-7829","affiliations":[{"raw_affiliation_string":"School of Computing, University of Colombo, SriLanka","institution_ids":["https://openalex.org/I90678064"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084628821","display_name":"Ruvan Weerasinghe","orcid":"https://orcid.org/0000-0002-1392-7791"},"institutions":[{"id":"https://openalex.org/I90678064","display_name":"University of Colombo","ror":"https://ror.org/02phn5242","country_code":"LK","type":"education","lineage":["https://openalex.org/I90678064"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Ruvan Weerasinghe","raw_affiliation_strings":["School of Computing, University of Colombo, SriLanka"],"raw_orcid":"https://orcid.org/0000-0002-1392-7791","affiliations":[{"raw_affiliation_string":"School of Computing, University of Colombo, SriLanka","institution_ids":["https://openalex.org/I90678064"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90678064"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"52"},"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":0.9821000099182129,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9592999815940857,"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/autoencoder","display_name":"Autoencoder","score":0.8068252801895142},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.671526312828064},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.6227006912231445},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5411128401756287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5071179866790771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3224020004272461},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.30889034271240234},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3076687455177307},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23200008273124695},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.10714226961135864},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.10534420609474182}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8068252801895142},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.671526312828064},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.6227006912231445},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5411128401756287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5071179866790771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3224020004272461},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.30889034271240234},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3076687455177307},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23200008273124695},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.10714226961135864},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.10534420609474182}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638569.3638576","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638569.3638576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1501856433","https://openalex.org/W2106417713","https://openalex.org/W2109482131","https://openalex.org/W2135037015","https://openalex.org/W2469049024","https://openalex.org/W2570516417","https://openalex.org/W2786016794","https://openalex.org/W2922359247","https://openalex.org/W2946438679","https://openalex.org/W2964026782","https://openalex.org/W2999886378","https://openalex.org/W3005363097","https://openalex.org/W3013557219","https://openalex.org/W3017228204","https://openalex.org/W3024894285","https://openalex.org/W3153939186","https://openalex.org/W3160363665","https://openalex.org/W3172835972","https://openalex.org/W3188579603"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2803255133","https://openalex.org/W2891286602"],"abstract_inverted_index":{"Drug-drug":[0],"interactions":[1,152],"(DDIs)":[2],"can":[3],"happen":[4],"when":[5],"two":[6],"or":[7],"more":[8,46,103],"drugs":[9,64,71,84,155,158],"are":[10,35,45,72],"taken":[11,159],"together.":[12],"Today":[13],"DDIs":[14,34,174],"have":[15],"become":[16],"a":[17,121,124,130,134],"serious":[18],"health":[19],"issue":[20],"due":[21],"to":[22,77,109,140,149],"adverse":[23,110],"drug":[24,111],"effects.":[25],"In":[26,116],"vivo":[27],"and":[28,38,60,75,101,129,156,171,189],"in":[29,41,48,113,187,191],"vitro":[30],"methods":[31],"for":[32,163,179],"identifying":[33],"time":[36],"consuming":[37],"costly.":[39],"Therefore,":[40],"silico":[42],"based":[43],"approaches":[44],"popular":[47],"DDI":[49,56],"identification.":[50],"Most":[51],"machine":[52],"learning":[53],"models":[54],"of":[55,63,70,83,145],"prediction":[57],"use":[58],"chemical":[59],"biological":[61],"properties":[62,69],"as":[65,99,176],"features.":[66],"However,":[67],"some":[68,96],"not":[73],"available":[74],"costly":[76],"extract":[78],"hence":[79],"automatic":[80,168],"feature":[81,169],"engineering":[82,170],"is":[85,148],"important.":[86],"Furthermore,":[87],"people":[88],"who":[89],"suffer":[90,94],"from":[91,95,136],"diabetes":[92],"mostly":[93],"other":[97,164],"diseases":[98],"well":[100],"take":[102],"than":[104],"one":[105],"medicine":[106],"together":[107],"leading":[108],"effects":[112],"diabetic":[114,161],"patients.":[115],"this":[117],"study":[118],"we":[119],"present":[120],"model":[122,147,183],"with":[123],"graph":[125,131],"convolutional":[126],"auto":[127],"encoder":[128],"decoder":[132],"using":[133],"dataset":[135],"DrugBank":[137],"version":[138],"5.1.3":[139],"predict":[141],"DDIs.":[142],"Main":[143],"objective":[144],"the":[146,157,177,180],"identify":[150],"unknown":[151],"between":[153],"antidiabetic":[154],"by":[160],"patients":[162],"diseases.":[165],"We":[166],"considered":[167],"used":[172],"Known":[173],"only":[175],"input":[178],"model.":[181],"Our":[182],"has":[184],"achieved":[185],"0.86":[186,190],"AUC":[188],"AP.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}