{"id":"https://openalex.org/W4290715635","doi":"https://doi.org/10.1109/tcbb.2022.3197320","title":"A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets","display_name":"A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets","publication_year":2022,"publication_date":"2022-08-08","ids":{"openalex":"https://openalex.org/W4290715635","doi":"https://doi.org/10.1109/tcbb.2022.3197320","pmid":"https://pubmed.ncbi.nlm.nih.gov/35939454"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2022.3197320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2022.3197320","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.10578","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001364901","display_name":"Cheng Ye","orcid":"https://orcid.org/0000-0001-5972-3981"},"institutions":[{"id":"https://openalex.org/I4210109524","display_name":"AstraZeneca (Australia)","ror":"https://ror.org/018nw3344","country_code":"AU","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210109524"]},{"id":"https://openalex.org/I4210128198","display_name":"AstraZeneca (Switzerland)","ror":"https://ror.org/034rhks82","country_code":"CH","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210128198"]},{"id":"https://openalex.org/I4210136823","display_name":"AstraZeneca (Poland)","ror":"https://ror.org/04gdybn86","country_code":"PL","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210136823"]}],"countries":["AU","CH","PL"],"is_corresponding":false,"raw_author_name":"Cheng Ye","raw_affiliation_strings":["Data Sciences and Quantitative Biology, Discovery Sciences, R&amp;D, AstraZeneca, Cambridge, U.K","D, AstraZeneca, Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5972-3981","affiliations":[{"raw_affiliation_string":"Data Sciences and Quantitative Biology, Discovery Sciences, R&amp;D, AstraZeneca, Cambridge, U.K","institution_ids":["https://openalex.org/I4210109524"]},{"raw_affiliation_string":"D, AstraZeneca, Cambridge, U.K","institution_ids":["https://openalex.org/I4210136823","https://openalex.org/I4210128198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030151631","display_name":"Rowan Swiers","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109524","display_name":"AstraZeneca (Australia)","ror":"https://ror.org/018nw3344","country_code":"AU","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210109524"]},{"id":"https://openalex.org/I4210128198","display_name":"AstraZeneca (Switzerland)","ror":"https://ror.org/034rhks82","country_code":"CH","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210128198"]},{"id":"https://openalex.org/I4210136823","display_name":"AstraZeneca (Poland)","ror":"https://ror.org/04gdybn86","country_code":"PL","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210136823"]}],"countries":["AU","CH","PL"],"is_corresponding":false,"raw_author_name":"Rowan Swiers","raw_affiliation_strings":["Data Sciences and Quantitative Biology, Discovery Sciences, R&amp;D, AstraZeneca, Cambridge, U.K","D, AstraZeneca, Cambridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Sciences and Quantitative Biology, Discovery Sciences, R&amp;D, AstraZeneca, Cambridge, U.K","institution_ids":["https://openalex.org/I4210109524"]},{"raw_affiliation_string":"D, AstraZeneca, Cambridge, U.K","institution_ids":["https://openalex.org/I4210136823","https://openalex.org/I4210128198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075279338","display_name":"Stephen Bonner","orcid":"https://orcid.org/0000-0001-6008-358X"},"institutions":[{"id":"https://openalex.org/I4210109524","display_name":"AstraZeneca (Australia)","ror":"https://ror.org/018nw3344","country_code":"AU","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210109524"]},{"id":"https://openalex.org/I4210128198","display_name":"AstraZeneca (Switzerland)","ror":"https://ror.org/034rhks82","country_code":"CH","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210128198"]},{"id":"https://openalex.org/I4210136823","display_name":"AstraZeneca (Poland)","ror":"https://ror.org/04gdybn86","country_code":"PL","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210136823"]}],"countries":["AU","CH","PL"],"is_corresponding":false,"raw_author_name":"Stephen Bonner","raw_affiliation_strings":["Data Sciences and Quantitative Biology, Discovery Sciences, R&amp;D, AstraZeneca, Cambridge, U.K","D, AstraZeneca, Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6008-358X","affiliations":[{"raw_affiliation_string":"Data Sciences and Quantitative Biology, Discovery Sciences, R&amp;D, AstraZeneca, Cambridge, U.K","institution_ids":["https://openalex.org/I4210109524"]},{"raw_affiliation_string":"D, AstraZeneca, Cambridge, U.K","institution_ids":["https://openalex.org/I4210136823","https://openalex.org/I4210128198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022667082","display_name":"Ian P. Barrett","orcid":"https://orcid.org/0009-0005-7164-0376"},"institutions":[{"id":"https://openalex.org/I4210109524","display_name":"AstraZeneca (Australia)","ror":"https://ror.org/018nw3344","country_code":"AU","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210109524"]},{"id":"https://openalex.org/I4210128198","display_name":"AstraZeneca (Switzerland)","ror":"https://ror.org/034rhks82","country_code":"CH","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210128198"]},{"id":"https://openalex.org/I4210136823","display_name":"AstraZeneca (Poland)","ror":"https://ror.org/04gdybn86","country_code":"PL","type":"company","lineage":["https://openalex.org/I105036370","https://openalex.org/I4210136823"]}],"countries":["AU","CH","PL"],"is_corresponding":false,"raw_author_name":"Ian Barrett","raw_affiliation_strings":["Data Sciences and Quantitative Biology, Discovery Sciences, R&amp;D, AstraZeneca, Cambridge, U.K","D, AstraZeneca, Cambridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Sciences and Quantitative Biology, Discovery Sciences, R&amp;D, AstraZeneca, Cambridge, U.K","institution_ids":["https://openalex.org/I4210109524"]},{"raw_affiliation_string":"D, AstraZeneca, Cambridge, U.K","institution_ids":["https://openalex.org/I4210136823","https://openalex.org/I4210128198"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9528,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.73172842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"6","first_page":"3070","last_page":"3080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9929999709129333,"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"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9929999709129333,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9613000154495239,"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":0.9520000219345093,"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/machine-learning","display_name":"Machine learning","score":0.6599690914154053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6127026081085205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5982404351234436},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.5324370265007019},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48337382078170776},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46110257506370544},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4120998680591583},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3839588761329651},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2611667513847351},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.21798551082611084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18489021062850952},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11224532127380371}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6599690914154053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127026081085205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5982404351234436},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.5324370265007019},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48337382078170776},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46110257506370544},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4120998680591583},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3839588761329651},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2611667513847351},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.21798551082611084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18489021062850952},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11224532127380371},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tcbb.2022.3197320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2022.3197320","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:35939454","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35939454","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/ACM transactions on computational biology and bioinformatics","raw_type":null},{"id":"pmh:oai:arXiv.org:2105.10578","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.10578","pdf_url":"https://arxiv.org/pdf/2105.10578","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.10578","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.10578","pdf_url":"https://arxiv.org/pdf/2105.10578","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W90362830","https://openalex.org/W140921912","https://openalex.org/W331119053","https://openalex.org/W1500036797","https://openalex.org/W1553899718","https://openalex.org/W1929627202","https://openalex.org/W1967105697","https://openalex.org/W1994027559","https://openalex.org/W2024165284","https://openalex.org/W2044358964","https://openalex.org/W2078772293","https://openalex.org/W2093734169","https://openalex.org/W2095657353","https://openalex.org/W2100534366","https://openalex.org/W2101234009","https://openalex.org/W2123667136","https://openalex.org/W2123688186","https://openalex.org/W2126418337","https://openalex.org/W2131412555","https://openalex.org/W2134435539","https://openalex.org/W2245277337","https://openalex.org/W2283196293","https://openalex.org/W2295598076","https://openalex.org/W2386495398","https://openalex.org/W2400310263","https://openalex.org/W2411624187","https://openalex.org/W2413563677","https://openalex.org/W2414371024","https://openalex.org/W2415841869","https://openalex.org/W2508935523","https://openalex.org/W2527836113","https://openalex.org/W2558643140","https://openalex.org/W2562885672","https://openalex.org/W2604314403","https://openalex.org/W2608056061","https://openalex.org/W2743104969","https://openalex.org/W2759136286","https://openalex.org/W2783569768","https://openalex.org/W2786054527","https://openalex.org/W2794814323","https://openalex.org/W2803860364","https://openalex.org/W2896002881","https://openalex.org/W2904414679","https://openalex.org/W2907272802","https://openalex.org/W2911419886","https://openalex.org/W2913446254","https://openalex.org/W2914921147","https://openalex.org/W2946511237","https://openalex.org/W2949311246","https://openalex.org/W2950520838","https://openalex.org/W2962756421","https://openalex.org/W3003385342","https://openalex.org/W3022883857","https://openalex.org/W3031607478","https://openalex.org/W3047878841","https://openalex.org/W3080019751","https://openalex.org/W3094062017","https://openalex.org/W3105609822","https://openalex.org/W3106143834","https://openalex.org/W3116099552","https://openalex.org/W3132689447","https://openalex.org/W3165146808","https://openalex.org/W3184301084","https://openalex.org/W4297571622","https://openalex.org/W4322614756","https://openalex.org/W6603694148","https://openalex.org/W6675243934","https://openalex.org/W6675354045","https://openalex.org/W6679042499","https://openalex.org/W6690757110","https://openalex.org/W6715278951","https://openalex.org/W6715717693","https://openalex.org/W6716156723","https://openalex.org/W6730084236","https://openalex.org/W6748253985","https://openalex.org/W6762626082","https://openalex.org/W6787444470","https://openalex.org/W6791232711"],"related_works":["https://openalex.org/W2480711475","https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W2061997414","https://openalex.org/W1587522533","https://openalex.org/W2961085424","https://openalex.org/W2121182182","https://openalex.org/W1996411829"],"abstract_inverted_index":{"The":[0,181],"drug":[1,20,50,83,134,242],"discovery":[2,51],"and":[3,9,21,52,104,108,120,138,152,165,177,194,226],"development":[4,53],"process":[5],"is":[6],"a":[7,38,75,93,133,200,234],"long":[8],"expensive":[10],"one,":[11],"costing":[12],"over":[13],"1":[14],"billion":[15],"USD":[16],"on":[17],"average":[18],"per":[19],"taking":[22],"10-15":[23],"years.":[24],"To":[25],"reduce":[26],"the":[27,33,55,60,117,125,145,162,191],"high":[28],"levels":[29],"of":[30,49,65,98],"attrition":[31],"throughout":[32],"process,":[34],"there":[35],"has":[36],"been":[37],"growing":[39],"interest":[40],"in":[41,54,240],"applying":[42],"machine":[43,170,216],"learning":[44,171,217],"methodologies":[45],"to":[46,80,143,160,219],"various":[47],"stages":[48],"recent":[56],"decade,":[57],"especially":[58],"at":[59],"earliest":[61],"stage":[62],"-":[63],"identification":[64],"druggable":[66],"disease":[67,153,220],"genes.":[68],"In":[69,208],"this":[70],"paper,":[71],"we":[72],"have":[73],"developed":[74],"new":[76],"tensor":[77,96,178,197,224],"factorisation":[78,179,198,225],"model":[79],"predict":[81,144],"potential":[82],"targets":[84],"(genes":[85],"or":[86],"proteins)":[87],"for":[88,148,237],"treating":[89],"diseases.":[90],"We":[91,123,155],"created":[92],"three-dimensional":[94],"data":[95,114,126],"consisting":[97],"1,048":[99],"gene":[100,128,150],"targets,":[101],"860":[102],"diseases":[103],"230,011":[105],"evidence":[106],"attributes":[107],"clinical":[109,146],"outcomes":[110,147],"connecting":[111],"them,":[112],"using":[113],"extracted":[115],"from":[116,132],"Open":[118],"Targets":[119],"PharmaProjects":[121],"databases.":[122],"enriched":[124],"with":[127,174],"target":[129,151,221],"representations":[130],"learned":[131],"discovery-oriented":[135],"knowledge":[136,186,227],"graph":[137,187,228],"applied":[139],"our":[140,210],"proposed":[141],"method":[142],"unseen":[149],"pairs.":[154],"designed":[156],"three":[157],"evaluation":[158],"strategies":[159],"measure":[161],"prediction":[163,192],"performance":[164],"benchmarked":[166],"several":[167],"commonly":[168],"used":[169],"classifiers":[172],"together":[173],"Bayesian":[175],"matrix":[176],"methods.":[180],"result":[182],"shows":[183],"that":[184,195],"incorporating":[185],"embeddings":[188],"significantly":[189],"improves":[190],"accuracy":[193],"training":[196],"alongside":[199],"dense":[201],"neural":[202],"network":[203],"outperforms":[204],"all":[205],"other":[206],"baselines.":[207],"summary,":[209],"framework":[211],"combines":[212],"two":[213],"actively":[214],"studied":[215],"approaches":[218],"identification,":[222],"namely":[223],"representation":[229],"learning,":[230],"which":[231],"could":[232],"be":[233],"promising":[235],"avenue":[236],"further":[238],"exploration":[239],"data-driven":[241],"discovery.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
