{"id":"https://openalex.org/W4390992175","doi":"https://doi.org/10.1109/bibm58861.2023.10385757","title":"Interpretable multi-view attention network for drug-drug interaction prediction","display_name":"Interpretable multi-view attention network for drug-drug interaction prediction","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390992175","doi":"https://doi.org/10.1109/bibm58861.2023.10385757"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385757","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/A5027410770","display_name":"Xuan Lin","orcid":"https://orcid.org/0000-0001-7216-1821"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Lin","raw_affiliation_strings":["Xiangtan University,College of Computer Science,China","Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, China","College of Computer Science, Xiangtan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiangtan University,College of Computer Science,China","institution_ids":["https://openalex.org/I4610292"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, China","institution_ids":["https://openalex.org/I4610292"]},{"raw_affiliation_string":"College of Computer Science, Xiangtan University, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035835836","display_name":"Wen Qi","orcid":"https://orcid.org/0000-0002-2091-3718"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wen","raw_affiliation_strings":["Xiangtan University,College of Computer Science,China","College of Computer Science, Xiangtan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiangtan University,College of Computer Science,China","institution_ids":["https://openalex.org/I4610292"]},{"raw_affiliation_string":"College of Computer Science, Xiangtan University, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102802754","display_name":"Sijie Yang","orcid":"https://orcid.org/0000-0001-7747-2063"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijie Yang","raw_affiliation_strings":["Xiangtan University,College of Computer Science,China","College of Computer Science, Xiangtan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiangtan University,College of Computer Science,China","institution_ids":["https://openalex.org/I4610292"]},{"raw_affiliation_string":"College of Computer Science, Xiangtan University, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026047510","display_name":"Zu\u2010Guo Yu","orcid":"https://orcid.org/0000-0001-5913-9646"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zu-Guo Yu","raw_affiliation_strings":["Xiangtan University,Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education,China","Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiangtan University,Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education,China","institution_ids":["https://openalex.org/I4610292"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066627747","display_name":"Yahui Long","orcid":"https://orcid.org/0000-0002-2765-3007"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I2800824516","display_name":"Singapore Immunology Network","ror":"https://ror.org/03vmmgg57","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I2800824516","https://openalex.org/I2801752549"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yahui Long","raw_affiliation_strings":["Agency for Science, Technology and Research(A*STAR),Singapore Immunology Network (SIgN),Singapore","Singapore Immunology Network (SIgN), Agency for Science, Technology and Research(A*STAR), Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agency for Science, Technology and Research(A*STAR),Singapore Immunology Network (SIgN),Singapore","institution_ids":["https://openalex.org/I2800824516"]},{"raw_affiliation_string":"Singapore Immunology Network (SIgN), Agency for Science, Technology and Research(A*STAR), Singapore","institution_ids":["https://openalex.org/I2800824516","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027286013","display_name":"Xiangxiang Zeng","orcid":"https://orcid.org/0000-0003-1081-7658"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxiang Zeng","raw_affiliation_strings":["Hunan University,College of Information Science and Engineering,China","College of Information Science and Engineering, Hunan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,College of Information Science and Engineering,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Information Science and Engineering, Hunan University, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5545,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86141887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"422","last_page":"427"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9965999722480774,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9915000200271606,"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":0.7214822769165039},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5734052658081055},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5246154069900513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49782752990722656},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4517750144004822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4455907940864563},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32780805230140686}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214822769165039},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5734052658081055},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5246154069900513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49782752990722656},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4517750144004822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4455907940864563},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32780805230140686},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385757","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":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.47999998927116394}],"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":29,"referenced_works":["https://openalex.org/W2090891622","https://openalex.org/W2091439417","https://openalex.org/W2154851992","https://openalex.org/W2786016794","https://openalex.org/W2802200505","https://openalex.org/W2913668833","https://openalex.org/W2972392269","https://openalex.org/W2997021962","https://openalex.org/W3025569729","https://openalex.org/W3035011799","https://openalex.org/W3035339058","https://openalex.org/W3094497296","https://openalex.org/W3104097132","https://openalex.org/W3139253280","https://openalex.org/W3156650687","https://openalex.org/W3205207815","https://openalex.org/W4205463297","https://openalex.org/W4211219865","https://openalex.org/W4220796987","https://openalex.org/W4285138922","https://openalex.org/W4322614756","https://openalex.org/W4322738920","https://openalex.org/W4380136659","https://openalex.org/W4386081361","https://openalex.org/W6730084236","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6739901393","https://openalex.org/W6855358507"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3155418658","https://openalex.org/W4389995241","https://openalex.org/W4320149722","https://openalex.org/W3213655484"],"abstract_inverted_index":{"Drug-drug":[0],"interaction":[1],"(DDI)":[2],"plays":[3],"an":[4,33,146],"increasingly":[5],"crucial":[6],"role":[7],"in":[8],"drug":[9,61,96,172],"discovery.":[10],"Predicting":[11],"potential":[12],"DDI":[13,30,44,90,103,191],"is":[14,32,149],"also":[15],"essential":[16],"for":[17,43,89,106],"clinical":[18],"research.":[19],"Given":[20],"the":[21,65,137,141,155,162,170],"high":[22],"cost":[23],"and":[24,115,124,130,143,157],"risk":[25],"of":[26,48,164],"wet-lab":[27],"experiments,":[28],"in-silico":[29],"prediction":[31],"alternative":[34],"choice.":[35],"Recently,":[36],"deep":[37],"learning":[38],"methods":[39,50],"have":[40],"been":[41],"developed":[42],"prediction.":[45,91,104,192],"However,":[46],"most":[47],"existing":[49],"focus":[51],"on":[52,190],"feature":[53],"extraction":[54],"from":[55,73,98,127],"either":[56],"molecular":[57,131,144],"SMILES":[58,128],"sequences":[59],"or":[60],"interactive":[62],"networks,":[63],"ignoring":[64],"valuable":[66],"complementary":[67,138],"information":[68,139],"that":[69,177],"can":[70,93],"be":[71],"derived":[72],"these":[74],"two":[75],"views.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80,110],"propose":[81],"a":[82,107,112,116],"novel":[83],"interpretable":[84],"Multi-View":[85],"Attention":[86],"network":[87],"(MVA-DDI)":[88],"MVA-DDI":[92,179],"effectively":[94],"extracts":[95],"representations":[97,126,159],"different":[99,165],"perspectives":[100],"to":[101,121,152,187],"improve":[102],"Specifically,":[105],"given":[108],"drug,":[109],"design":[111],"transformer-based":[113],"encoder":[114,120],"graph":[117,125,158],"convolutional":[118],"networkbased":[119],"learn":[122],"sequence":[123,129,142,156],"graph,":[132],"respectively.":[133],"To":[134],"fully":[135],"exploit":[136],"between":[140],"views,":[145],"attention":[147],"mechanism":[148],"further":[150],"adopted":[151],"adaptively":[153],"aggregate":[154],"by":[160],"taking":[161],"importance":[163],"views":[166],"into":[167],"accounts,":[168],"generating":[169],"final":[171],"representations.":[173],"Comparison":[174],"experiments":[175],"demonstrated":[176],"our":[178],"<sup":[180],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[181],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[182],"model":[183],"achieved":[184],"superior":[185],"performance":[186],"state-of-the-art":[188],"models":[189]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
