{“id”:“https://openalex.org/W4225935934网址“,”doi“:”https://doi.org/10.109/iske54062.2021.9755440“,”title“:”Negative Samples enhanced Graph Convolutional Neural Networks“,”display_name“:”Negative Simples enchanced Graw Convolution Neural Networks“,“publication_year”:2021,“publiction_date”:“2021-11-26”,“ids”:{“openalex”:“https://openalex.org/W4225935934网址“,”doi“:”https://doi.org/10.109/iske54062.2021.9755440“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/iske54062.2021.9755440“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4363608381“,”display_name“:”2021年第十六届智能系统与知识工程国际会议(ISKE)“,”issn_l“:null,”issn“:null,”is_oa“:false,”is_core“:false,”host_organization“:nul,”host_organization_name“:null,“host_orgganization_lineage”:[],”hos_organizration_lineage_names“:[]”,“type”:“Conference”},“license”:nulllicense_id“:null,”version“:null,”is_accepted“:false,”is_published“:false},”type“:”article“,”type_crossref“:”议事录文章“,”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/A5074397157“,”display_name“:”卫端“,”兽人“:”https://orcid.org/0000-0002-2185-0333},“机构”:[{“id”:https://openalex.org/I114017466“,”display_name“:”悉尼理工大学“,”ror“:”https://ror.org/03f0f6041“,”country_code“:”AU“,”type“:“教育”,”世系“:[”https://openalex.org/I114017466“]}],”国家“:[”AU“],”is_corresponding“:false,”raw_author_name“:”Wei Duan“,”raw_affiliation_strings“:[“澳大利亚悉尼理工大学澳大利亚人工智能研究所(AAII)”],“affiliations”:[{“raw_affilition_string”:“澳大利亚人工智能学会(AAII,Australian Artificial Intelligence Institute)”澳大利亚悉尼理工大学“,”institution_ids“:[”https://openalex.org/I114017466“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5029498647“,”display_name“:”君宇轩“,”orcid“:”https://orcid.org/0000-0002-8367-6908},“机构”:[{“id”:https://openalex.org/I114017466“,”display_name“:”悉尼理工大学“,”ror“:”https://ror.org/03f0f6041“,”country_code“:”AU“,”type“:“教育”,”世系“:[”https://openalex.org/I114017466“]}],”国家“:[”AU“],”is_corresponding“:false,”raw_author_name“:”Junyu Xuan“,”raw _affiliation_strings“:[“澳大利亚悉尼理工大学澳大利亚人工智能研究所(AAII)”],“affiliations”:[{“raw_affilition_string”:“澳大利亚人工智能学会(AAII,Australian Artificial Intelligence Institute)”澳大利亚悉尼理工大学“,”institution_ids“:[”https://openalex.org/I114017466“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5100675577“,”display_name“:”Jie Lu“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I114017466“,”display_name“:”悉尼理工大学“,”ror“:”https://ror.org/03f0f6041“,”country_code“:”AU“,”type“:“教育”,”世系“:[”https://openalex.org/I114017466“]}],”国家“:[”AU“],”is_corresponding“:false,”raw_author_name“:”Jie Lu“,”raw _affiliation_strings“:[“澳大利亚悉尼理工大学澳大利亚人工智能研究所(AAII)”],“affiliations”:[{“raw_affilition_string”:“澳大利亚人工智能学会(AAII,Australian Artificial Intelligence Institute)”澳大利亚悉尼理工大学“,”institution_ids“:[”https://openalex.org/I114017466“]}]}],”countries_destict_count“:1,”institutions_disict_count“:1,”corresponding_author_ids“:[],”corresponding_institution_ids“:[],”apc_list“:null,”apc_payed“:null,”fwci“:0.0,”has_fulltext“:false,”cited_by_count“:1,”cited_by_percentle_year“:{”min“:62,”max“:71},”biblio“:{”volume“:null,”issue“:null,”first_page“:null,”last“_page“:null},”is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T11273“,”display_name“:”Graph Neural Network Models and Applications“,”score“:1.0,”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“:1.0,”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“:0.9692,”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“}},{”id“:”https://openalex.org/T10064“,”display_name“:”复杂网络统计力学“,”score“:0.9671,”subfield“:{”id“:”https://openalex.org/subfields/3109“,”display_name“:”统计与非线性物理学“},”field“:{”id“:”https://openalex.org/fields/31网址“,”display_name“:”物理学和天文学“},”域“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/signal-processing-on-graphs网站“,”display_name“:”图形信号处理“,”score“:0.600286},{”id“:”https://openalex.org/keywords/graph-neural-networks网站“,”display_name“:”Graph Neural Networks“,”score“:0.593759},{”id“:”https://openalex.org/keywords/graph-convolutional-networks网站“,”“display_name”:“图卷积网络”,“score”:0.586162},{“id”:“https://openalex.org/keywords/representation-learning网站“,”display_name“:”表征学习“,”score“:0.567785},{”id“:”https://openalex.org/keywords/network-embedding“,”display_name“:”网络嵌入“,”score“:0.544474}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.69043577},{”id“:”https://openalex.org/C132525143,“wikidata”:https://www.wikidata.org/wiki/Q141488“,”display_name“:”Graph“,”level“:2,”score“:0.63795775},{”id“:”https://openalex.org/C81363708,“wikidata”:https://www.wikidata.org/wiki/Q17084460“,”display_name“:”卷积神经网络“,”level“:2,”score“:0.54782367},{”id“:”https://openalex.org/C62611344,“wikidata”:https://www.wikidata.org/wiki/Q1062568“,”display_name“:”节点(物理)“,”级别“:2,”分数“:0.48204145},{”id“:”https://openalex.org/C83665646,“wikidata”:https://www.wikidata.org/wiki/Q42139305网址“,”display_name“:”Feature vector“,”level“:2,”score“:0.44757205},{”id“:”https://openalex.org/C80444323,“wikidata”:https://www.wikidata.org/wiki/Q2878974“,”display_name“:”理论计算机科学“,”level“:1,”score“:0.44072595},{”id“:”https://openalex.org/C854659,“wikidata”:https://www.wikidata.org/wiki/Q1859284“,”display_name“:”消息传递“,”level“:2,”score“:0.43084997},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.4058895},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.37810314},{”id“:”https://openalex.org/C120314980,“wikidata”:https://www.wikidata.org/wiki/Q180634“,”display_name“:”分布式计算“,”level“:1,”score“:0.10424587},{”id“:”https://openalex.org/C66938386,“wikidata”:https://www.wikidata.org/wiki/Q633538(网址:https://www.wikidata.org/wiki/Q633538)“,”display_name“:”结构工程“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C127413603,“wikidata”:https://www.wikidata.org/wiki/Q11023“,”display_name“:”Engineering“,”level“:0,”score“:0.0}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/iske54062.2021.9755440“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4363608381“,”display_name“:”2021年第十六届智能系统与知识工程国际会议(ISKE)“,”issn_l“:null,”issn“:null,”is_oa“:false,”is_core“:false,”host_organization“:nul,”host_organization_name“:null,“host_orgganization_lineage”:[],”hos_organizration_lineage_names“:[]”,“type”:“Conference”},“license”:nulllicense_id“:null,”version“:null,”is_accepted“:false,”is_published“:false}],”best_oa_location“:nul,”sustainable_development_goals“:[],”grants“:{”funder“:”https://openalex.org/F4320334704“,”funder_display_name“:”澳大利亚研究委员会“,”award_id“:null}]“,”datasets“:[],”versions“:[],”referenced_works_count“:20,”referrenced_works“:[”https://openalex.org/W2056760934","https://openalex.org/W2097732278","https://openalex.org/W2153959628","https://openalex.org/W2465015709","https://openalex.org/W2784814091","https://openalex.org/W2950898568","https://openalex.org/W2962711740","https://openalex.org/W2963084622","https://openalex.org/W2963695795","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964311892","https://openalex.org/W3080456792","https://openalex.org/W310084883网址","https://openalex.org/W3104038788","https://openalex.org/W3122063025","https://openalex.org/W4294170691","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W637153065“],”related_works“:[”https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4293226380","https://openalex.org/W4288966080","https://openalex.org/W4239306820","https://openalex.org/W2978729728","https://openalex.org/W2811106690","https://openalex.org/W2510374584","https://openalex.org/W2134852660","https://openalex.org/W1530347314“],”ngrams_url“:”https://api.openalex.org/works/W4225935934/ngrams网站“,”“abstract_inverted_index”:{“Graph”:[0135],“neural”:[1],“networks”:[2],“(GNN)”:[3],“have”:[4,24,46],“show”:[5],“great”:[6],“success”:[7],“in”:[8],“Graph”:[9182200],“representation”:[10],“learning”:[11],“by”:[12],“extracting”:[13],“high”:[14],“features”:[15],”来自“:[16],”节点“:[17,52144176],”和“:[18,44,59153170],”它们的“:[19],”拓扑结构。“:[20],”许多“:[21],”以前的“:[22],”研究“:[23108],”使用“:[25154],”信息“:[26,501161201214149164171178191197],”消息“:[27150],”传递“:[28151],”机制“:[29152],”to“:[30,72155209],”fuse“:[315],”neighborship“:[32],”information“:[33,94],”with“:[34,78203],”an“:[35],”假设“:[36],“that”:[37190],“neighbors”:[38],“should“:[39],”share“:[40],”some“:[41,85],”similar“:[42],”behaviors“:[43],”then“:[45],”positive“:[47,57,70,80],”correlations。“:[48],”因此,“:[49],”邻居“:[51],”可以“:[53,64195],”被“:[54,65],”考虑“:[55],”作为“:[56,67],”样本“:[58,71,88],”大多数“:[60],”的“:[61166173181199],”现有“:[62107],”方法“:[63],”查看“:[66],”使用“:[68],”这些“:[69,79],”更新“:[73156],”新“:[74157],”特征“:[75159],”向量。“:[76160],”Along“:[77],”samples“:[81],”there“:[82],”are“:+83145],”alsor“:[84,92],”hidden“:[86],”negative“:[87110167206],”(non-neighbor“:[89],”nodes“)“:[90],”which“:[91],”contains“:[93],”for“:[95112123],”a“:[96132204],”sequent“:[97],”node“:[98158201],”but“:],“has”:[100],“been”:[101],“ignored”:[102],“so”:[103],“远。“:[104],“In”:[105127],“addition”,“:[106],“on”:[109177185],“sampling”:[11111 7168],“graphics”:[113],“only”:[114],“results”:[118],“into”:[119148],“loss”:[121],“function”:[122],“model”:[125194],“training”。“:[126],”this“:[128],”paper“:[129],”we“:[130],”propose“:[131],”Negative“:[133],”Samples-enhanced“:[134],”卷积“:[136],”神经“:[137],”Networks“:%138],”(NegGCN)“:[139],”where“:%140],”Negative进一步“:[162],“调查”:[163],“影响”:[165],“速率“:[169207],”数量“:[172],”分类“:[179202],”精度“:[180198],”节点。“:[183],“实验”:[184],“引文”:[186],“网络”:[187],“数据集”:[188],“建议”:[189],“提议”:[192],“阴性GCN”:[193],“改进”:[196],“特定”:[205],“比较”:[208],“GCN”。“:[210]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W4225935934“,”counts_by_year“:[{”year“:2023,”cited_by_count“:1}],”updated_date“:”2024-07-12T00:29:50.132920“,”created_date“:”2022-05-05“}