{"id":"https://openalex.org/W4406047338","doi":"https://doi.org/10.1109/tcbbio.2024.3522512","title":"GNNSynergy: A Multi-View Graph Neural Network for Predicting Anti-Cancer Drug Synergy","display_name":"GNNSynergy: A Multi-View Graph Neural Network for Predicting Anti-Cancer Drug Synergy","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406047338","doi":"https://doi.org/10.1109/tcbbio.2024.3522512","pmid":"https://pubmed.ncbi.nlm.nih.gov/40811231"},"language":"en","primary_location":{"id":"doi:10.1109/tcbbio.2024.3522512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbbio.2024.3522512","pdf_url":null,"source":{"id":"https://openalex.org/S5407042751","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"2998-4165","issn":["2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100397027","display_name":"Zhifeng Hao","orcid":"https://orcid.org/0000-0003-2034-6562"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Hao","raw_affiliation_strings":["School of Computer Science, Guangdong University of Technology, Guangzhou, China","School of Computer Science, Guangdong University of Technology, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianming Zhan","orcid":"https://orcid.org/0009-0004-6080-4980"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Zhan","raw_affiliation_strings":["School of Computer Science, Guangdong University of Technology, Guangzhou, China","School of Computer Science, Guangdong University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0004-6080-4980","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055103025","display_name":"Yuan Fang","orcid":"https://orcid.org/0000-0002-4265-5289"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuan Fang","raw_affiliation_strings":["School of Computing and Information Systems, Singapore Management University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4265-5289","affiliations":[{"raw_affiliation_string":"School of Computing and Information Systems, Singapore Management University, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340964","display_name":"Min Wu","orcid":"https://orcid.org/0000-0003-0977-3600"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Min Wu","raw_affiliation_strings":["Institute for Infocomm Research (I2R), A*Star, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-0977-3600","affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research (I2R), A*Star, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076948208","display_name":"Ruichu Cai","orcid":"https://orcid.org/0000-0001-8972-167X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruichu Cai","raw_affiliation_strings":["School of Computer Science, Guangdong University of Technology, Guangzhou, China","School of Computer Science, Guangdong University of Technology, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-8972-167X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Computer Science, Guangdong University of Technology, Guangdong, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.8538,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.97824275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"333","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"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":1.0,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9919000267982483,"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":0.6620116233825684},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.6091659069061279},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5488638281822205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5379012823104858},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5313490033149719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5177806615829468},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5176966190338135},{"id":"https://openalex.org/keywords/cancer-drugs","display_name":"Cancer drugs","score":0.45950764417648315},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.41939249634742737},{"id":"https://openalex.org/keywords/cancer-cell-lines","display_name":"Cancer cell lines","score":0.4150039553642273},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.335663378238678},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.22166398167610168},{"id":"https://openalex.org/keywords/cancer-cell","display_name":"Cancer cell","score":0.16573983430862427},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10034817457199097},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.07614794373512268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620116233825684},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.6091659069061279},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5488638281822205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5379012823104858},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5313490033149719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5177806615829468},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5176966190338135},{"id":"https://openalex.org/C3020340455","wikidata":"https://www.wikidata.org/wiki/Q974135","display_name":"Cancer drugs","level":3,"score":0.45950764417648315},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.41939249634742737},{"id":"https://openalex.org/C2994372470","wikidata":"https://www.wikidata.org/wiki/Q4118072","display_name":"Cancer cell lines","level":4,"score":0.4150039553642273},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.335663378238678},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.22166398167610168},{"id":"https://openalex.org/C96232424","wikidata":"https://www.wikidata.org/wiki/Q4118072","display_name":"Cancer cell","level":3,"score":0.16573983430862427},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10034817457199097},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.07614794373512268},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbbio.2024.3522512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbbio.2024.3522512","pdf_url":null,"source":{"id":"https://openalex.org/S5407042751","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"2998-4165","issn":["2998-4165"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:40811231","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40811231","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":"IEEE transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G4471167475","display_name":"\u975e\u7a33\u6001\u793e\u4ea4\u7f51\u7edc\u7528\u6237\u884c\u4e3a\u7684\u56e0\u679c\u673a\u5236\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61876043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7393361838","display_name":null,"funder_award_id":"2014A030306004","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8982061459","display_name":null,"funder_award_id":"2014A030308008","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1982551127","https://openalex.org/W1994740663","https://openalex.org/W2002544582","https://openalex.org/W2044025814","https://openalex.org/W2061136308","https://openalex.org/W2100563036","https://openalex.org/W2136008225","https://openalex.org/W2145877930","https://openalex.org/W2299417213","https://openalex.org/W2473876819","https://openalex.org/W2608863179","https://openalex.org/W2610860012","https://openalex.org/W2617974048","https://openalex.org/W2775061087","https://openalex.org/W2790203313","https://openalex.org/W2803581864","https://openalex.org/W2809953005","https://openalex.org/W2883248903","https://openalex.org/W2900516335","https://openalex.org/W2907492528","https://openalex.org/W2922229918","https://openalex.org/W2948035163","https://openalex.org/W2950860419","https://openalex.org/W2962876161","https://openalex.org/W2981475131","https://openalex.org/W2987239367","https://openalex.org/W3006386963","https://openalex.org/W3013279271","https://openalex.org/W3037489518","https://openalex.org/W3041133507","https://openalex.org/W3045143113","https://openalex.org/W3092034553","https://openalex.org/W3108155943","https://openalex.org/W3127930610","https://openalex.org/W3161372396","https://openalex.org/W3164087725","https://openalex.org/W3177840694","https://openalex.org/W3189189889","https://openalex.org/W3196304395","https://openalex.org/W3198409039","https://openalex.org/W3198879735","https://openalex.org/W3203908308","https://openalex.org/W4289315841","https://openalex.org/W4296907511","https://openalex.org/W4297733535","https://openalex.org/W6631190155","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6751697710","https://openalex.org/W6752129415"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W4239572564","https://openalex.org/W2004908052","https://openalex.org/W2292969731"],"abstract_inverted_index":{"Drug":[0],"combinations":[1,33,54],"play":[2],"very":[3],"important":[4],"roles":[5],"in":[6,36],"cancer":[7,81],"therapy,":[8],"as":[9,98,109,131],"they":[10],"can":[11,50],"enhance":[12],"curative":[13],"efficacy":[14],"and":[15,123,126,144,167],"overcome":[16],"drug":[17,32,53,72,75,121,135,154,157,183],"resistance.":[18],"Due":[19],"to":[20,44,55,70,119,133,150],"the":[21,31,57,94,106,141,152,168],"increasing":[22],"size":[23],"of":[24],"combinatorial":[25],"space,":[26],"experimental":[27,58,169],"screening":[28],"for":[29,74,156,180],"all":[30],"becomes":[34],"infeasible":[35],"practice.":[37],"Therefore,":[38],"there":[39],"is":[40],"a":[41,65,79,86],"great":[42],"need":[43],"develop":[45],"accurate":[46],"computational":[47],"approaches":[48],"that":[49,172],"predict":[51],"potential":[52],"direct":[56],"screening.":[59],"In":[60,111],"this":[61],"paper,":[62],"we":[63,84,114],"propose":[64,85],"novel":[66,181],"method":[67],"called":[68],"GNNSynergy":[69,175],"learn":[71,134],"embeddings":[73,155],"synergy":[76,158],"prediction.":[77,159,185],"Given":[78],"specific":[80],"cell":[82,96,103],"line,":[83],"multi-view":[87],"graph":[88,128],"neural":[89,129],"network":[90,130],"framework":[91],"which":[92],"considers":[93],"current":[95],"line":[97],"main":[99,142],"view":[100,143],"while":[101],"other":[102],"lines":[104],"from":[105],"same":[107],"tissue":[108],"sub-views.":[110],"each":[112],"view,":[113],"first":[115],"construct":[116],"different":[117],"graphs":[118],"describe":[120],"synergistic":[122,182],"antagonistic":[124],"interactions,":[125],"adopt":[127],"encoder":[132],"embeddings.":[136],"We":[137,160],"further":[138],"combine":[139],"both":[140],"sub-views":[145],"via":[146],"an":[147],"attention":[148],"mechanism":[149],"derive":[151],"final":[153],"perform":[161],"extensive":[162],"experiments":[163],"on":[164],"DrugComb":[165],"database":[166],"results":[170],"demonstrate":[171],"our":[173],"proposed":[174],"significantly":[176],"outperforms":[177],"state-of-the-art":[178],"methods":[179],"combination":[184]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}