{"id":"https://openalex.org/W4225873739","doi":"https://doi.org/10.1093/bib/bbac184","title":"A heterogeneous network-based method with attentive meta-path extraction for predicting drug\u2013target interactions","display_name":"A heterogeneous network-based method with attentive meta-path extraction for predicting drug\u2013target interactions","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4225873739","doi":"https://doi.org/10.1093/bib/bbac184","pmid":"https://pubmed.ncbi.nlm.nih.gov/35641162"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbac184","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbac184","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2112.08567","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078412690","display_name":"Hongzhun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]},{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhun Wang","raw_affiliation_strings":["College of Informatics , , Wuhan, 430070, Wuhan , China","Huazhong Agricultural University , , Wuhan, 430070, Wuhan , China","College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Informatics , , Wuhan, 430070, Wuhan , China","institution_ids":["https://openalex.org/I4210100789"]},{"raw_affiliation_string":"Huazhong Agricultural University , , Wuhan, 430070, Wuhan , China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101659630","display_name":"Feng Huang","orcid":"https://orcid.org/0000-0001-5502-8105"},"institutions":[{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]},{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Huang","raw_affiliation_strings":["College of Informatics , , Wuhan, 430070, Wuhan , China","Huazhong Agricultural University , , Wuhan, 430070, Wuhan , China","College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Informatics , , Wuhan, 430070, Wuhan , China","institution_ids":["https://openalex.org/I4210100789"]},{"raw_affiliation_string":"Huazhong Agricultural University , , Wuhan, 430070, Wuhan , China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004812710","display_name":"Zhankun Xiong","orcid":"https://orcid.org/0000-0002-8040-8836"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]},{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhankun Xiong","raw_affiliation_strings":["College of Informatics , , Wuhan, 430070, Wuhan , China","Huazhong Agricultural University , , Wuhan, 430070, Wuhan , China","College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Informatics , , Wuhan, 430070, Wuhan , China","institution_ids":["https://openalex.org/I4210100789"]},{"raw_affiliation_string":"Huazhong Agricultural University , , Wuhan, 430070, Wuhan , China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448121","display_name":"Wen Zhang","orcid":"https://orcid.org/0000-0001-5221-2628"},"institutions":[{"id":"https://openalex.org/I4210100789","display_name":"Wuhan College","ror":"https://ror.org/01dashf18","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210100789"]},{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Zhang","raw_affiliation_strings":["College of Informatics , , Wuhan, 430070, Wuhan , China","Huazhong Agricultural University , , Wuhan, 430070, Wuhan , China","College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Informatics , , Wuhan, 430070, Wuhan , China","institution_ids":["https://openalex.org/I4210100789"]},{"raw_affiliation_string":"Huazhong Agricultural University , , Wuhan, 430070, Wuhan , China","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"College of Informatics, Huazhong Agricultural University, Wuhan, 430070, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100448121"],"corresponding_institution_ids":["https://openalex.org/I204823248","https://openalex.org/I4210100789"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":8.8736,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.98358438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"23","issue":"4","first_page":null,"last_page":null},"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":0.9817000031471252,"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/T12023","display_name":"Cholinesterase and Neurodegenerative Diseases","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.807809591293335},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5771462917327881},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5603459477424622},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5248308777809143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4994053840637207},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46971195936203003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46524202823638916},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.43956810235977173},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.41273126006126404},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37998777627944946},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30296897888183594},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.19950714707374573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10009545087814331}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807809591293335},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5771462917327881},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5603459477424622},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5248308777809143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4994053840637207},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46971195936203003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46524202823638916},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.43956810235977173},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.41273126006126404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37998777627944946},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30296897888183594},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.19950714707374573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10009545087814331},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004347","descriptor_name":"Drug Interactions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","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":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":true},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbac184","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbac184","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:35641162","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35641162","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":"Briefings in bioinformatics","raw_type":null},{"id":"pmh:oai:arXiv.org:2112.08567","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.08567","pdf_url":"https://arxiv.org/pdf/2112.08567","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:2112.08567","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.08567","pdf_url":"https://arxiv.org/pdf/2112.08567","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":[],"awards":[{"id":"https://openalex.org/G1311322377","display_name":null,"funder_award_id":"62072206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5693357935","display_name":null,"funder_award_id":"61772381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6023783866","display_name":null,"funder_award_id":"2662021JC008","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7580141315","display_name":null,"funder_award_id":"2662022JC004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2029348196","https://openalex.org/W2042084565","https://openalex.org/W2047672715","https://openalex.org/W2055147198","https://openalex.org/W2138512826","https://openalex.org/W2162011385","https://openalex.org/W2166550586","https://openalex.org/W2184981123","https://openalex.org/W2336207313","https://openalex.org/W2509447018","https://openalex.org/W2579151866","https://openalex.org/W2747329762","https://openalex.org/W2753953057","https://openalex.org/W2767891136","https://openalex.org/W2805643613","https://openalex.org/W2888273069","https://openalex.org/W2902557437","https://openalex.org/W2945027804","https://openalex.org/W2946099214","https://openalex.org/W2952522777","https://openalex.org/W3003038853","https://openalex.org/W3021338900","https://openalex.org/W3032123378","https://openalex.org/W3039465695","https://openalex.org/W3093030756","https://openalex.org/W3126516421","https://openalex.org/W3126680015","https://openalex.org/W3134169372","https://openalex.org/W3136918052","https://openalex.org/W3167993868","https://openalex.org/W3175599101","https://openalex.org/W3184618566","https://openalex.org/W3188463051","https://openalex.org/W3192988454","https://openalex.org/W3198879735","https://openalex.org/W3217681006","https://openalex.org/W4200140951","https://openalex.org/W4205478771","https://openalex.org/W4212774754","https://openalex.org/W6780031824","https://openalex.org/W6796176955","https://openalex.org/W6805039355"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"Predicting":[0],"drug-target":[1],"interactions":[2],"(DTIs)":[3],"is":[4,46,90,175],"crucial":[5],"at":[6],"many":[7],"phases":[8],"of":[9,61,92,103,144,187,233,249],"drug":[10],"discovery":[11],"and":[12,34,59,64,150,189],"repositioning.":[13],"Many":[14],"computational":[15],"methods":[16,41],"based":[17,105],"on":[18,49,106,177,225],"heterogeneous":[19],"networks":[20],"(HNs)":[21],"have":[22],"proved":[23],"their":[24,67],"potential":[25],"to":[26,155,165,182],"predict":[27],"DTIs":[28],"by":[29,110],"capturing":[30],"extensive":[31],"biological":[32],"knowledge":[33],"semantic":[35],"information":[36],"from":[37,196],"meta-paths.":[38,254],"However,":[39],"existing":[40],"manually":[42],"customize":[43],"meta-paths,":[44,159],"which":[45,89],"overly":[47],"dependent":[48],"some":[50],"specific":[51],"expertise.":[52],"Such":[53,137],"strategy":[54],"heavily":[55],"limits":[56],"the":[57,118,142,178,184,209,231,247,250],"scalability":[58],"flexibility":[60],"these":[62],"models,":[63],"even":[65],"affects":[66],"predictive":[68],"performance.":[69],"To":[70,152],"alleviate":[71],"this":[72],"limitation,":[73],"we":[74,160],"propose":[75],"a":[76,98,129,162,171],"novel":[77],"HN-based":[78],"method":[79],"with":[80,120,208],"attentive":[81],"meta-path":[82,135,138,147,168,180,203],"extraction":[83],"for":[84,199,220],"DTI":[85,221,236],"prediction,":[86],"named":[87],"HampDTI,":[88],"capable":[91],"automatically":[93],"extracting":[94],"useful":[95],"meta-paths":[96,219],"through":[97],"learnable":[99],"attention":[100,125],"mechanism":[101,164],"instead":[102],"pre-definition":[104],"domain":[107],"knowledge.":[108],"Specifically,":[109],"scoring":[111],"multi-hop":[112],"connections":[113],"across":[114],"various":[115],"relations":[116],"in":[117,235],"HN":[119],"each":[121],"relation":[122],"assigned":[123],"an":[124],"weight,":[126],"HampDTI":[127,154,192,214,234],"constructs":[128],"new":[130],"trainable":[131],"graph":[132,139,172],"structure,":[133],"called":[134],"graph.":[136],"implicitly":[140],"measures":[141],"importance":[143],"every":[145],"possible":[146],"between":[148],"drugs":[149,188],"targets.":[151,190],"enable":[153],"extract":[156,217],"more":[157,244],"diverse":[158],"adopt":[161],"multi-channel":[163,185],"generate":[166],"multiple":[167],"graphs.":[169],"Then,":[170],"neural":[173],"network":[174],"deployed":[176],"generated":[179],"graphs":[181,204],"yield":[183],"embeddings":[186,195],"Finally,":[191],"fuses":[193],"all":[194],"different":[197],"channels":[198],"predicting":[200],"DTIs.":[201],"The":[202,223],"are":[205],"optimized":[206],"along":[207],"model":[210,251],"training":[211],"such":[212],"that":[213],"can":[215],"adaptively":[216],"valuable":[218],"prediction.":[222],"experiments":[224],"benchmark":[226],"datasets":[227],"not":[228],"only":[229],"show":[230],"superiority":[232],"prediction":[237],"over":[238],"several":[239],"baseline":[240],"methods,":[241],"but":[242],"also,":[243],"importantly,":[245],"demonstrate":[246],"effectiveness":[248],"discovering":[252],"important":[253]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}