{“id”:“https://openalex.org/W3205023444“,”doi“:”https://doi.org/10.1007/978-3-030-88480-2_22“,”title“:“基于注意力的强化学习,用于知识图推理的奖励形成”,”display_name“:”基于注意力的加强学习,用于奖励形成知识图推理“,”publication_year“:2021,”publitation_date“:”2021-01-01“,”ids“:{”openalex“:”https://openalex.org/W3205023444“,”doi“:”https://doi.org/10.1007/978-3-030-88480-2_22“,”mag“:”3205023444“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-030-88480-2_22“,”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“:”施普林格科学+商业媒体“,”host_organization_lineage“:[”https://openalex.org/P431031965","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/A5033111996“,”display_name“:”Sheng Wang“,”orcid“:”https://orcid.org/0000-0001-5584-0486},“机构”:[{“id”:https://openalex.org/I196699116“,”display_name“:”武汉理工大学“,”ror“:”https://ror.org/03fe7t173“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I196699116“]}],”国家“:[”CN“],”is_corresponding“:true,”raw_author_name“:”Sheng Wang“,”raw关联字符串“:[“武汉理工大学”]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5062097440“,”display_name“:”陈晓英“,”兽人“:”https://orcid.org/0000-0003-1022-8933},“机构”:[{“id”:https://openalex.org/I196699116“,”display_name“:”武汉理工大学“,”ror“:”https://ror.org/03fe7t173“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I196699116“]}],”国家“:[”CN“],”is_corresponding“:true,”raw_author_name“:”Xiaoying Chen“,”raw _ afiliation_strings“:[“湖北省征信中心”,“武汉理工大学”]},{“author_position”:“last”,“author”:{“id”:“https://openalex.org/A5029329863“,”display_name“:”神武雄“,”兽人“:”https://orcid.org/0000-0002-3836-0664},“机构”:[{“id”:https://openalex.org/I196699116“,”display_name“:”武汉理工大学“,”ror“:”https://ror.org/03fe7t173“,”country_code“:”CN“,”type“:“教育”,”世系“:[”https://openalex.org/I196699116“]}],”国家“:[”CN“],”is_corresponding“:true,”raw_author_name“:”Shengwu Xiong“,”raw _affiliation_strings“:[“武汉理工大学”]}],”countries_distiction_count“:1,”institutions_disticent_count”:1,“corresponding_author_ids”:[“https://openalex.org/A5033111996","https://openalex.org/A5062097440","https://openalex.org/A5029329863“],”对应的机构ID“:[”https://openalex.org/I196699116","https://openalex.org/I196699116","https://openalex.org/I196699116“],”apc_list“:{”value“:5000,”currency“:”EUR“,”value_usd“:5392,”provenance“:”doaj“},”apc _payed“:{“value”:5000,“currench”:“EUR”,”value_ usd“:5392,“provenance”:“doaj”},“has_fulltext”:false,“cited_by_count”:0,“cited_by_percentile_year”:{“min”:0”,“max”:63},“issue”:null,“first_page”:“275”,“last_page”:“287”},“is_retracted”:falseis_paratext“:false,”primary_topic“:{”id“:”https://openalex.org/T11273“,”display_name“:”Graph Neural Network Models and Applications“,”score“:0.9996,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”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/T11273“,”display_name“:”Graph Neural Network Models and Applications“,”score“:0.9996,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”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/T12761“,”“display_name”:“适应数据流中的概念漂移”,“score”:0.9822,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”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/T10203“,”display_name“:”推荐系统技术“,”score“:0.9737,”subfield“:{”id“:”https://openalex.org/subfields/1710“,”display_name“:”Information Systems“},”field“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/knowledge-graph-embedding“,”display_name“:”知识图嵌入“,”score“:0.599335},{”id“:”https://openalex.org/keywords/representation-learning网站“,”display_name“:”表征学习“,”score“:0.56822},{”id“:”https://openalex.org/keywords/signal-processing-on-graphs网站“,”display_name“:”图形信号处理“,”score“:0.54671},{”id“:”https://openalex.org/keywords/relational-data-modeling“,”display_name“:”关系数据建模“,”score“:0.541069},{”id“:”https://openalex.org/keywords/context-aware-recommer-systems“,”display_name“:”Context-Aware Recommender Systems“,”score“:0.537369}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.82762814},{”id“:”https://openalex.org/C97541855,“wikidata”:https://www.wikidata.org/wiki/Q830687“,”display_name“:”强化学习“,”level“:2,”score“:0.7403502},{”id“:”https://openalex.org/C132525143,“wikidata”:https://www.wikidata.org/wiki/Q141488“,”display_name“:”Graph“,”level“:2,”score“:0.5207422},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.49707416},{”id“:”https://openalex.org/C188147891,“wikidata”:https://www.wikidata.org/wiki/Q147638网址“,”display_name“:”认知科学“,”level“:1,”score“:0.3219272},{”id“:”https://openalex.org/C80444323,“wikidata”:https://www.wikidata.org/wiki/Q2878974“,”display_name“:”理论计算机科学“,”level“:1,”score“:0.27138275},{”id“:”https://openalex.org/C15744967,“wikidata”:https://www.wikidata.org/wiki/Q9418“,”display_name“:”心理学“,”level“:0,”score“:0.06304258}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-030-88480-2_22“,”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“:”施普林格科学+商业媒体“,”host_organization_lineage“:[”https://openalex.org/P431031965","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”:12,“referenced_works“:[”https://openalex.org/W2184957013","https://openalex.org/W2283196293","https://openalex.org/W2728059831","https://openalex.org/W2889344053","https://openalex.org/W2914846572","https://openalex.org/W2962886429","https://openalex.org/W2964007976","https://openalex.org/W2971038186","https://openalex.org/W2996919866","https://openalex.org/W2997359684","https://openalex.org/W3098682001","https://openalex.org/W3099726771“],”related_works“:[”https://openalex.org/W4380318855","https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2138720691","https://openalex.org/W2031695474","https://openalex.org/W2001405890“],”ngrams_url“:”https://api.openalex.org/works/W320502344/ngrams网站“,”“abstract_inverted_index”:{“知识”:[0],“图形”:[1],“推理”:[2,10,22,69],“目标”:[3],“at”:[4],“求解”:[5],“确定”:[6],“任务”:[7],“by”:[8,54136],“查找”:[9],“路径”:[11],“其中”:[12,48,71,90155],“已”:[13,27],“唤醒”:[14],”“广泛”:[15186],“注意。”:[16],“最近”:[17],“a”:[18,64106122150],“解决方案”:[19],“对于“:[20112],“路径”:[21,68135],“那”:[23],“组合”:[24],“强化”:[25,65],“学习”:[26,66],“实现”:[28],“成功”:[29],“进步”。“:[30],”但“:[31],”这些“:[32],”研究“:[33],”主要“:[34],”焦点“:[35],”关于“:[36179],”the“:[37,44,51,55,76,82,93101113113131134142157164176190193],”agent“:[38],”choice“:[39108],”of“:[40,46101131145185192],”relationship“:[41],”and“:[42,78,99166],”ignore“:[43],“重要性”:[45],“实体”:[47],“意志”:[49],“原因”:[50],“随机“:[52111],”选择“:[53],”代理“:[56161],”如果“:[57],”1-N/N-N“:[58],”关系“:[59],”发生。“:[60],”因此,“:[61],”我们“:[62120148171],”提议“:[63],”基于“:[67],”模型“:[70,89],”解决“:[72],”这个“:[73],”问题“:[74],”来自“:[75,96],”拓扑“:[77],”语义“:[79138],”级别。“:[80],”第一,“:[81],”注意“:[83],”机制“:[84],”是“:[85],”引入“:[86],”in“:[87],”我们的“:[88127173],”can“:[91],”extract“:[92],”hidden“:[94],”feature“:[95],”neighbor“:[97],”entities“:[98],”helps“:[100],”policy“:[102],”network“:[103125],”to“:[104129],”make“:[105],”适当“:[107],”代替“:[109],”操作“:[114],”with“:[115175],”相同的“:[117]”关系。“:[118],”然后,“:[119],”引入“:[121],”卷积“:[123],”神经“:[124],”进入“:[126],”模型“:[128174],”区分“:[130],”合理性“:[132],”特征。“:[139],“到”:[140],“缓解”:[141],“负面”:[143],“影响”:[144],“终端”:[146],“奖励”:[147],“使用”:[149],“基于潜力”:[151],“奖赏”:[152165],“塑造”:[153],“功能”:[154],“考虑”:[156],“潜力”:%158],“差距”:[159],“介于”:[160],“状态”:[162],“作为”:[163],”没有“:[167],”any“:[168],”预训练。“:[169],”最后,“:[170],”比较“:[172],”最先进“:[177],”基线“:[178],”两个“:[180],”基准“:[181],”数据集“:[182],”结果“:[184],”比较“:[187],”实验“:[188],”验证“:[189],”有效性“:[191],”提出“:[194],”方法。“:[195]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W3205023444“,”counts_by_year“:[],”updated_date“:”2024-05-16T02:08:13.358930“,”created_date:“2021-10-25”}“