{“id”:“https://openalex.org/W4285199243“,”doi“:”https://doi.org/10.1007/978-3-031-05933-9_43“,”title“:“通过异构数据增强和节点相似度进行稀疏不平衡的Drug-Target交互预测”,”display_name“:”通过异构数据扩充和节点相似性进行稀疏不均衡的Drug-Darget交互预计“,”publication_year“:2022,”publiation_date“:”2022-01-01“,”ids“:{”openalex“:”https://openalex.org/W4285199243“,”doi“:”https://doi.org/10.1007/978-3-031-05933-9_43“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-031-05933-9_43“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P4310319965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”book-chapter“,”type_crossref“:“book-chapter”,”indexed_in“:[“crossref”],”open_access“:{”is_oa“:false”“,”oa_url“:空,”any_repository_has_fulltext“:false},”作者身份“:[{”作者位置“:”第一个“,”作者“:{”id“:”https://openalex.org/A5024457019“,”display_name“:”Runze Wang“,”orcid“:”https://orcid.org/0009-0004-4767-6152“},”机构“:[{”id“:”https://openalex.org/I9086337“,”display_name“:”太原理工大学“,”ror“:”https://ror.org/03kv08d37“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I9086337“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Runze Wang“,”raw _ afiliation_strings“:[“太原理工大学,中国,030024”],”affiliations“:[{”raw_ afiliation _string“:”太原理工大,030024',“institution_ids”:[“https://openalex.org/I9086337“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5004786498“,”display_name“:”张泽华“,”兽人“:”https://orcid.org/0000-0002-0648-8954“},”机构“:[{”id“:”https://openalex.org/I9086337“,”display_name“:”太原理工大学“,”ror“:”https://ror.org/03kv08d37“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I9086337“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Zhua Zhang“,”raw _ afiliation_strings“:[“太原理工大学,中国,030024”],”affiliations“:[{”raw_ afiliation _string“:”太原理工大,030024.“,”institution_ids“:[https://openalex.org/I9086337“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5071706247“,”display_name“:”Yueqin Zhang“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I9086337“,”display_name“:”太原理工大学“,”ror“:”https://ror.org/03kv08d37“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I9086337“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”Yueqin Zhang“,”raw _ afiliation_strings“:[“太原理工大学,中国,030024”],”affiliations“:[{”raw_ afiliation _string“:”太原理工大,030024',“institution_ids”:[“https://openalex.org/I9086337“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5014861105“,”display_name“:”中原江“,”兽人“:”https://orcid.org/0000-0001-8249-9711“},”机构“:[{”id“:”https://openalex.org/I149594827“,”display_name“:”西电大学“,”ror“:”https://ror.org/05s92vm98“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I149594827“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”中原江“,”raw _ afiliation_strings“:[“西安西电大学,710068,中国”],”affiliations“:[{”raw_ afiliation _string“:”西安西电学院,710068.“,”institution_ids“:[https://openalex.org/I149594827“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5048984067“,”display_name“:”Shilin Sun“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I9086337“,”display_name“:”太原理工大学“,”ror“:”https://ror.org/03kv08d37“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I9086337“]}],”国家“:[”CN“],”is_corresponding“:false,”raw_author_name“:”孙士林“,”raw _ afiliation_strings“:[“太原理工大学,中国太原,030024”],”affiliations“:[{”raw_ afiliation _string“:”太原理工大,030024',“institution_ids”:[“https://openalex.org/I9086337“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5011355966“,”display_name“:”Chenwei Zhang“,”orcid“:”https://orcid.org/0000-0002-0606-3649“},”机构“:[{”id“:”https://openalex.org/I1311688040“,”display_name“:”亚马逊(美国)“,”ror“:”https://ror.org/04mv4n011“,”country_code“:”US“,”type“:“company”,”lineage“:[”https://openalex.org/I1311688040“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Chenwei Zhang“,”raw _ afiliation_strings“:[“亚马逊,西雅图,华盛顿州,98109,美国”],”affiliations“:[{”raw_ afiliation _string“:”亚马逊,西雅图https://openalex.org/I1311688040“]}]}],”countries_distinct_count“:2,”institutions_distinact_counts“:3,”corresponding_author_ids“:[],”corresponding_institution_ids”:[]、“apc_list”:{“value”:5000,“currency”:“EUR”,“value_usd”:5392,“provenance”:“doaj”},“apc_payed”:null,“fwci”:2.799,“has_fulltext”:false,“cited_by_count”:2,“cited_by_by_percent”ile_year“:{“最小”:76,“最大”:81},“书目”:{”volume“:null,”issue“:nul,”first_page“:”548“,”last_page“:”561“},”is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T10211“,”“display_name”:“药物发现中的计算方法”,“score”:0.9998,“subfield”:{“id”:“https://openalex.org/subfields/1703“,”display_name“:”计算理论与数学“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10211“,”“display_name”:“药物发现中的计算方法”,“score”:0.9998,“subfield”:{“id”:“https://openalex.org/subfields/1703“,”display_name“:”计算理论与数学“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11440“,”“display_name”:“点击化学生物学和药物开发中的化学”,“score”:0.9883,“subfield”:{“id”:“https://openalex.org/subfields/1605“,”display_name“:”有机化学“},”字段“:{”id“:”https://openalex.org/fields/16“,”display_name“:”Chemistry“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T12254“,”“display_name”:“蛋白质亚细胞定位预测”,“score”:0.9807,“subfield”:{“id”:“https://openalex.org/subfields/1312“,”display_name“:”分子生物学“},”字段“:{”id“:”https://openalex.org/fields/13“,”“display_name”:“生物化学、遗传学和分子生物学”},“域”:{“id”:“https://openalex.org/domains/1“,”display_name“:”生命科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/药物目标识别“,”display_name“:”药物靶点识别“,”score“:0.63384},{”id“:”https://openalex.org/keywords/network-pharmacology网站“,”display_name“:”网络药理学“,”score“:0.507288}],”概念“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.7601097},{”id“:”https://openalex.org/C132525143,“wikidata”:https://www.wikidata.org/wiki/Q141488网址“,”display_name“:”Graph“,”level“:2,”score“:0.6330209},{”id“:”https://openalex.org/C103278499,“wikidata”:https://www.wikidata.org/wiki/Q254465“,”display_name“:”相似性(几何)“,”level“:3,”score“:0.62069637},{”id“:”https://openalex.org/C62611344,“wikidata”:https://www.wikidata.org/wiki/Q1062658“,”display_name“:”Node(physics)“,”level“:2,”score“:0.57948893},{”id“:”https://openalex.org/C158207573,“wikidata”:https://www.wikidata.org/wiki/Q5747224“,”display_name“:”异构网络“,”level“:4,”score“:0.4921071},{”id“:”https://openalex.org/C124066611,“wikidata”:https://www.wikidata.org/wiki/Q28684319“,”display_name“:”稀疏近似“,”level“:2,”score“:0.4858141},{”id“:”https://openalex.org/C2989108626,“wikidata”:https://www.wikidata.org/wiki/Q904407“,”“display_name”“:”药物靶点“,”级别“:2,”分数“:0.48028705},{”id“:”https://openalex.org/C2776359362,“wikidata”:https://www.wikidata.org/wiki/Q2145286“,”display_name“:”Representation(politics)“,”level“:3,”score“:0.47281706},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.4609457},{”id“:”https://openalex.org/C124101348,“wikidata”:https://www.wikidata.org/wiki/Q172491“,”display_name“:”数据挖掘“,”level“:1,”score“:0.4315877},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.42188257},{”id“:”https://openalex.org/C80444323,“wikidata”:https://www.wikidata.org/wiki/Q2878974“,”display_name“:”理论计算机科学“,”level“:1,”score“:0.29625225},{”id“:”https://openalex.org/C71924100,“wikidata”:https://www.wikidata.org/wiki/Q11190“,”display_name“:”Medicine“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C76155785,“wikidata”:https://www.wikidata.org/wiki/Q418“,”display_name“:”Telecommunications“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C108037233,“wikidata”:https://www.wikidata.org/wiki/Q11375“,”display_name“:”无线网络“,”level“:3,”score“:0.0},{”id“:”https://openalex.org/C66938386,“wikidata”:https://www.wikidata.org/wiki/Q633538“,”display_name“:”结构工程“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C98274493,“wikidata”:https://www.wikidata.org/wiki/Q128406“,”display_name“:”药理学“,”等级“:1,”分数“:0.0},{”id“:”https://openalex.org/C199539241,“wikidata”:https://www.wikidata.org/wiki/Q7748“,”display_name“:”Law“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C17744445,“wikidata”:https://www.wikidata.org/wiki/Q36442“,”display_name“:”政治学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C127413603,“wikidata”:https://www.wikidata.org/wiki/Q11023“,”display_name“:”工程“,”级别“:0,”分数“:0.0},{”id“:”https://openalex.org/C115961682,“wikidata”:https://www.wikidata.org/wiki/Q860623“,”display_name“:”Image(mathematics)“,”level“:2,”score“:0.0},{”id“:”https://openalex.org/C555944384,“wikidata”:https://www.wikidata.org/wiki/Q249“,”display_name“:”无线“,”级别“:2,”分数“:0.0},{”id“:”https://openalex.org/C94625758,“wikidata”:https://www.wikidata.org/wiki/Q7163“,”display_name“:”Politics“,”level“:2,”score“:0.0}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-031-05933-9_43“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P4310319965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book series”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:nul,“sustainable_development_goals”:[],“grants”:[],“dataset”:[]],“versions”:[】,“referenced_works_count”:21,“referenced_works“:[”https://openalex.org/W2558057290","https://openalex.org/W2586637063","https://openalex.org/W2785947426","https://openalex.org/W2899788782","https://openalex.org/W2911286998","https://openalex.org/W2911419886","https://openalex.org/W2937307539","https://openalex.org/W2948035163","https://openalex.org/W295252777","https://openalex.org/W2965857891","https://openalex.org/W3000043291","https://openalex.org/W3018980093","https://openalex.org/W3028589594","https://openalex.org/W3096561213","https://openalex.org/W3099152386","https://openalex.org/W3126516421","https://openalex.org/W3127823632","https://openalex.org/W3152586663","https://openalex.org/W3153325943","https://openalex.org/W3175599101","https://openalex.org/W4210257598“],”related_works“:[”https://openalex.org/W4386790794","https://openalex.org/W4248847438","https://openalex.org/W2805504328","https://openalex.org/W2509090697","https://openalex.org/W2116998628","https://openalex.org/W2098964748","https://openalex.org/W2022479666","https://openalex.org/W1953159635","https://openalex.org/W1927327903","https://openalex.org/W1544665982“],”ngrams_url“:”https://api.openalex.org/works/W4285199243/ngrams“,”abstract_inverted_index“:{”Drug-Target“:[0],”交互“:[1],”(DTI)“:[2],”预测“:[3],”通常“:[4],”致力于“:[5],”to“:[6,17,83,99134],”准确“:[7],”标识“:[8],”the“:[9,19,23,53,56,85111128164],”potential“:[10],”binding“:[11],”targets“:[12],”on“:[13,89127],“蛋白质”:[14,63],“so”:[15],“as”:[16],“指南”:[18],“药物”:[20],“发展。“:[21],”“然而,”:[22],“稀疏”:[24,86155],“不平衡”:[25],“的”:[26,37166],“已知”:[27],“药物靶点”:[28,47,90143],“对”:[29,48],“保持”:[30],“a”:[31,70105],“挑战”:[32],“对于”:[33142],“高质量”:[34],“表征”:[35],“学习”:[36,72],“毒品”:[38],“和“:[39,64,79138171],”目标“,:[40],”干扰“:[41],”与“:[42,61],”准确的“:[43],”预测。“:[44,92145],”The“:[45],”labeled“:[46],”are“:[49,59],”far“:[50],”less“:[51],”than“:[52],”missing“:[54],”since“:[55],”get“:[57],”DTI“:[58],”recorded“:[60],”patterious“:[62],”complex“:[65],”bio-experiments“。“:[66],”因此,“:[67],”我们“:[68],”提议“:[69],”深度“:[71],”范式“:[73],”通过“:[74],”异构“:[75,93],”图形“:[76,94115120168],”数据“:[77,95169],”增强“:[78],”节点“:[80172],”相似“:[81],”(HAS)“:[82],”求解“:[84],”不平衡“:[87156],“问题”:[88],“交互”:[91144],“增强”:[96170],“是”:[97117125],“设计了“:[98],”生成“:[100],”多视图“:[101],”增强“:[102],”图形“:[103],”通过“:[104],”异构“:[106129139167],”邻居“:[107],”采样“:[108],”策略。“:[109],”Then“:[110],”consistence“:[112],”across“:[113],”different“:[114],”structures“:[116],”captured“:[118],”using“:[119],”contrastive“:[121],”optimization“。“:[122],“节点”:[123],“相似性”:[124136],“计算”:[126],“实体”:[130],“关联”:[131],“矩阵”,:[132],“瞄准”:[133],“集成”:[135],“信息”:[137],“属性”:[140],“增益”:[141],“扩展”:[146],“实验”:[147],“显示”:[148],“表示”:[149],“HAS”:[150],“提供”:[151],“优越”:[152],“性能”:[153],“in”:[154],“场景”:[157],“比较”:[158],“最先进”:[159],“方法。“:[160],”消融“:[161],”研究“:[162],”证明“:[163],”有效性“:[165],”相似性。“:[173]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W4285199243“,”counts_by_year“:[{”年份“:2023,”cited_by_count“:1},{”年“:2022,”cited_by_count”:1}],”更新日期“:“2024-06-24T05:16:10.252337”,”创建日期“:”2022-07-14“}