{"id":"https://openalex.org/W4205363336","doi":"https://doi.org/10.1109/bibm52615.2021.9669683","title":"Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph","display_name":"Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4205363336","doi":"https://doi.org/10.1109/bibm52615.2021.9669683"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669683","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5114197626","display_name":"Jingwei Qu","orcid":"https://orcid.org/0000-0003-4607-8703"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Qu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349945","display_name":"Bei Wang","orcid":"https://orcid.org/0000-0002-3602-2557"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Wang","raw_affiliation_strings":["SenseTime Research, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research, Shanghai, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084081468","display_name":"Zhixun Li","orcid":"https://orcid.org/0000-0001-6750-9002"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixun Li","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101587591","display_name":"Xiaoqing Lyu","orcid":"https://orcid.org/0000-0003-2354-7749"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210143794","display_name":"China Science and Technology Publishing & Media","ror":"https://ror.org/04ww8nw62","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210143794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Lyu","raw_affiliation_strings":["Key Laboratory of Intelligent Press Media Technology, Beijing, China","Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Press Media Technology, Beijing, China","institution_ids":["https://openalex.org/I4210143794"]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103175239","display_name":"Zhi Tang","orcid":"https://orcid.org/0000-0002-6021-8357"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210143794","display_name":"China Science and Technology Publishing & Media","ror":"https://ror.org/04ww8nw62","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210143794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Tang","raw_affiliation_strings":["Key Laboratory of Intelligent Press Media Technology, Beijing, China","Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Press Media Technology, Beijing, China","institution_ids":["https://openalex.org/I4210143794"]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4171,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81430219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1685","last_page":"1687"},"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":0.9919999837875366,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9592999815940857,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7407560348510742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7193223834037781},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5430419445037842},{"id":"https://openalex.org/keywords/drug-repositioning","display_name":"Drug repositioning","score":0.5046402215957642},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.49763014912605286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4942910671234131},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4835781455039978},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.467672199010849},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3940814137458801},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.3487166166305542},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28105998039245605},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09253746271133423}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7407560348510742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7193223834037781},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5430419445037842},{"id":"https://openalex.org/C103637391","wikidata":"https://www.wikidata.org/wiki/Q5308921","display_name":"Drug repositioning","level":3,"score":0.5046402215957642},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.49763014912605286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4942910671234131},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4835781455039978},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.467672199010849},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3940814137458801},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.3487166166305542},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28105998039245605},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09253746271133423},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669683","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/17","score":0.5,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2767774008","https://openalex.org/W2892880750","https://openalex.org/W2962711740","https://openalex.org/W2964015378","https://openalex.org/W2995868056","https://openalex.org/W3012871709","https://openalex.org/W4294558607","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6754929296"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2807634898","https://openalex.org/W4281673370","https://openalex.org/W1692008701","https://openalex.org/W2942366970","https://openalex.org/W2597588799","https://openalex.org/W4360593462"],"abstract_inverted_index":{"Drug":[0],"repurposing":[1],"aims":[2],"at":[3],"identifying":[4],"new":[5],"indications":[6],"for":[7,83],"approved":[8],"drugs":[9],"that":[10],"are":[11,59],"outside":[12],"the":[13,16,20,30,49,53,63,89,93,104,108,113,118,122,140],"scope":[14],"of":[15,56,78,95,145],"original":[17],"indications.":[18],"Understanding":[19],"acting":[21],"mechanism":[22],"among":[23],"drugs,":[24,79],"protein":[25],"targets,":[26,80],"and":[27,32,81,102,129,142],"diseases,":[28],"especially":[29],"interdependent":[31],"indecomposable":[33],"relationships,":[34,115],"is":[35],"a":[36,98,125],"critical":[37],"step.":[38],"However,":[39],"most":[40],"existing":[41],"methods":[42],"rely":[43],"on":[44,121,136],"pairwise":[45,64],"relationships.":[46,110],"To":[47,111],"model":[48,107],"biological":[50],"interactions":[51],"between":[52],"three":[54],"types":[55],"entities,":[57],"which":[58],"likely":[60],"ignored":[61],"by":[62,124],"paradigm,":[65],"we":[66,87,116],"propose":[67],"an":[68,130],"end-to-end":[69],"Event-Graph":[70,105,123],"Neural":[71],"Network":[72],"(EGNN)":[73],"to":[74,91,106],"predict":[75,112],"multivariate":[76,109],"relationships":[77],"diseases":[82],"drug":[84],"repurposing.":[85],"Specifically,":[86],"introduce":[88],"event":[90],"describe":[92],"interdependence":[94],"drug-target-disease":[96],"as":[97],"complete":[99],"semantic":[100],"unit":[101],"design":[103],"potential":[114],"perform":[117],"representation":[119],"learning":[120],"bidirectional":[126],"aggregating":[127],"operation":[128],"event-level":[131],"attention":[132],"mechanism.":[133],"Experimental":[134],"results":[135],"real-world":[137],"datasets":[138],"demonstrate":[139],"effectiveness":[141],"promising":[143],"performance":[144],"EGNN":[146],"compared":[147],"with":[148],"several":[149],"competitive":[150],"methods.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
