{"id":"https://openalex.org/W4406238162","doi":"https://doi.org/10.1109/bibm62325.2024.10822303","title":"Drug Combination Side Effect Prediction Based on Polypharmacy Network and GraphSAGE Algorithm","display_name":"Drug Combination Side Effect Prediction Based on Polypharmacy Network and GraphSAGE Algorithm","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406238162","doi":"https://doi.org/10.1109/bibm62325.2024.10822303"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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":null,"display_name":"Haiqiang Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqiang Xiao","raw_affiliation_strings":["Shaanxi Normal University,School of Computer Science,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Normal University,School of Computer Science,Xian,China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058768577","display_name":"Xiujuan Lei","orcid":"https://orcid.org/0000-0002-9901-1732"},"institutions":[{"id":"https://openalex.org/I88830068","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493","country_code":"CN","type":"education","lineage":["https://openalex.org/I88830068"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujuan Lei","raw_affiliation_strings":["Shaanxi Normal University,School of Computer Science,Xian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Normal University,School of Computer Science,Xian,China","institution_ids":["https://openalex.org/I88830068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424317","display_name":"Yuchen Zhang","orcid":"https://orcid.org/0000-0002-6118-454X"},"institutions":[{"id":"https://openalex.org/I89652312","display_name":"Northwest A&F University","ror":"https://ror.org/0051rme32","country_code":"CN","type":"education","lineage":["https://openalex.org/I89652312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Zhang","raw_affiliation_strings":["Northwest A&#x0026;F University,College of Information Engineering,Yangling,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest A&#x0026;F University,College of Information Engineering,Yangling,China","institution_ids":["https://openalex.org/I89652312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091157395","display_name":"Fang\u2010Xiang Wu","orcid":"https://orcid.org/0000-0002-4593-9332"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fang-Xiang Wu","raw_affiliation_strings":["University of Saskatchewan,Division of Biomedical Engineering,Saskatoon,Canada,S7N5A9"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Saskatchewan,Division of Biomedical Engineering,Saskatoon,Canada,S7N5A9","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1257","last_page":"1262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.16099999845027924,"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":0.16099999845027924,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.15440000593662262,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.08560000360012054,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/polypharmacy","display_name":"Polypharmacy","score":0.9285596609115601},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.622434675693512},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.6186180114746094},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5615454316139221},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2360125482082367},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.19506794214248657}],"concepts":[{"id":"https://openalex.org/C36434225","wikidata":"https://www.wikidata.org/wiki/Q1895998","display_name":"Polypharmacy","level":2,"score":0.9285596609115601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.622434675693512},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.6186180114746094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5615454316139221},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2360125482082367},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.19506794214248657}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322529","display_name":"Shaanxi Normal University","ror":"https://ror.org/0170z8493"},{"id":"https://openalex.org/F4320334997","display_name":"Chinese Universities Scientific Fund","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1018047830","https://openalex.org/W2086169342","https://openalex.org/W2093882311","https://openalex.org/W2116462976","https://openalex.org/W2145578524","https://openalex.org/W2200548835","https://openalex.org/W2571868483","https://openalex.org/W2599434197","https://openalex.org/W2724799126","https://openalex.org/W2767891136","https://openalex.org/W2786016794","https://openalex.org/W2798133167","https://openalex.org/W2946438679","https://openalex.org/W3092034553","https://openalex.org/W3138304638","https://openalex.org/W4280492560","https://openalex.org/W4292160648","https://openalex.org/W4312127771","https://openalex.org/W4313530695","https://openalex.org/W4366307849","https://openalex.org/W4392172738","https://openalex.org/W6726873649"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4310739378","https://openalex.org/W2594890405","https://openalex.org/W2103640491","https://openalex.org/W3028382539","https://openalex.org/W2398672653","https://openalex.org/W1997275959","https://openalex.org/W2171692026"],"abstract_inverted_index":{"Due":[0],"to":[1,19,50,144],"the":[2,9,15,20,28,34,40,63,79,86,95,101,105,110,114,119,129,134,138,145,189,197],"complexity":[3],"and":[4,72,75,91,93,109,133,177,192,196],"diversity":[5],"of":[6,11,42,104,113,123,156,161,168],"modern":[7],"diseases,":[8],"combination":[10],"drugs":[12,90,124],"has":[13],"become":[14],"first":[16],"choice.":[17],"According":[18],"graph":[21,24,41,69,130],"theory":[22],"in":[23],"theory,":[25],"we":[26,164],"transform":[27],"original":[29],"link":[30],"prediction":[31,57],"problem":[32,37],"into":[33],"node":[35],"identification":[36],"by":[38,84,127],"establishing":[39],"drug":[43,54,106,115,140],"side":[44,55,158],"effect":[45,56,159],"network":[46,49,65,81,97,132],"-":[47],"polypharmacy":[48,64,96],"predict.":[51],"A":[52],"combined":[53],"model":[58,191,199],"(CDSG)":[59],"was":[60,82,98],"constructed":[61,83],"on":[62,68],"graph,":[66],"based":[67],"attention":[70,131],"mechanism":[71],"Graph":[73],"Sample":[74],"Aggregate":[76],"(GraphSAGE).":[77],"Firstly,":[78],"side-effect":[80,87],"using":[85],"relationship":[88],"between":[89],"drugs,":[92,163],"then":[94],"constructed.":[99],"Then":[100],"target":[102],"gene":[103],"is":[107,116],"encoded":[108],"feature":[111,121,169],"vector":[112],"established.":[117],"Furthermore,":[118],"advanced":[120,139],"representations":[122],"are":[125],"learned":[126],"utilizing":[128],"GraphSAGE":[135],"algorithm.":[136],"Finally,":[137],"characteristics":[141],"were":[142],"connected":[143,147],"fully":[146],"layer":[148],"for":[149],"classification":[150],"prediction.":[151],"On":[152],"a":[153],"baseline":[154],"dataset":[155],"1138":[157],"types":[160],"257":[162],"conducted":[165],"different":[166],"methods":[167],"fusion":[170],"experiment,":[171,173,176],"ablation":[172],"5-fold":[174],"crossover":[175],"compared":[178],"CDSG":[179],"with":[180],"several":[181],"computing":[182],"models":[183],"such":[184],"as":[185],"traditional":[186],"GCN":[187],"model,":[188],"GAT":[190],"matrix":[193],"decomposition":[194],"models,":[195],"final":[198],"achieved":[200],"good":[201],"results.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
