{“id”:“https://openalex.org/W4307010406“,”doi“:”https://doi.org/10.48550/arxiv.2210.10462“,”title“:”基于结构聚类的自监督异构图预训练“,”display_name“:”根据结构聚类进行的自监督异质图预训练”,“publication_year”:2022,“publiation_date”:“2022-01-01”,“ids”:{“openalex”:“”https://openalex.org/W4307010406“,”doi“:”https://doi.org/10.48550/arxiv.2210.10462“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2210.10462“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is.in_doaj“:false,”is_core“:fase,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“other-oa”,“licence_id”:“https://openalex.org/licenses/other-oa网站“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},”type“:”preprint“,”type_crossref“:“posted-content”,”indexed_in“:[”arxiv“,”datacite“],”open_access“:{”is_oa“:true,”oa_status“:”green“,”oa_url“:”https://arxiv.org/abs/2210.10462“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5041619025“,”display_name“:”Yaming Yang“,”orcid“:”https://orcid.org/0000-0002-8830-1208“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:Yang,Yaming”,“raw_affiliation_strings”:[],“affiliations”:[]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5065194313“,”display_name“:”Ziyu Guan“,”orcid“:”https://orcid.org/0000-0003-2413-4698“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”关,子域“,”raw关联字符串“:[],“关联关系”:[]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5056053058“,”display_name“:”Zhe Wang“,”orcid“:”https://orcid.org/0000-0003-3185-612X“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”王,哲“,”raw_affiliation_strings“:[],“隶属关系”:[]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5072097629“,”display_name“:”赵旺“,”兽人“:”https://orcid.org/0000-0001-9437-3198“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”赵,魏“,”raw_affiliation_strings“:[],“隶属关系”:[]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5023210803“,”display_name“:”徐才“,”兽人“:”https://orcid.org/0000-0002-1621-2257“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:Xu,Cai”,“raw_affiliation_strings”:[],“affiliations”:[]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5023576346“,”display_name“:”伟岗L\u00fc“,”orcid“:”https://orcid.org/0000-0001-9751-8241“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Lu,Weigang“,”raw_affiliation_strings“:[],“affiliations”:[]},{“author_position”:“last”,“author”:{“id”:“https://openalex.org/A504944908“,”display_name“:”黄建斌“,”兽人“:”https://orcid.org/0000-0001-7534-2388“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”黄建斌“,”raw关联字符串“:[],“隶属关系”:[]}],“国家区分计数”:0,”机构区分计数“:0,“对应作者ID”:[]、“对应作者ids”:[]、“apc_list”:null,“apc_payed”:nul,“fwci”:0.997,“has_fulltext“:false,”cited_by_count“:3,”cited_by_percentile_year“:{“min”:80,“max”:84},“biblio”:{”volume“:null,“issue”:null、“first_page”:null,“last_page”:null},”is_retracted“:false,”is_paratext“:false,”primary_topic“:{”id“:”https://openalex.org/T11273“,”display_name“:”Graph Neural Network Models and Applications“,”score“:0.9992,”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“:0.9992,”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/T11550“,”“display_name”:“机器学习中的多标签文本分类”,“score”:0.9922,“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/T11307“,”display_name“:”转移学习和领域适应的进展“,”score“:0.9848,”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“:”Physical Sciences“}}],”keywords“:[{”id“:”https://openalex.org/keywords/semi-supervised-learning网站“,”display_name“:”半监督学习“,”score“:0.595561},{”id“:”https://openalex.org/keywords/multi-label-learning网站“,”display_name“:”多标签学习“,”score“:0.577401},{”id“:”https://openalex.org/keywords/异构网络“,”display_name“:”异构网络“,”score“:0.559449},{”id“:”https://openalex.org/keywords/meta-learning“,”display_name“:”元学习“,”score“:0.555672},{”id“:”https://openalex.org/keywords/unsupervised学习“,”display_name“:”无监督学习“,”score“:0.552866}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.7918416},{”id“:”https://openalex.org/C97931131,“wikidata”:https://www.wikidata.org/wiki/Q5282087“,”display_name“:”鉴别模型“,”level“:2,”score“:0.7438304},{”id“:”https://openalex.org/C73555534,“wikidata”:https://www.wikidata.org/wiki/Q622825“,”display_name“:”聚类分析“,”level“:2,”score“:0.66414005},{”id“:”https://openalex.org/C177148314,“wikidata”:https://www.wikidata.org/wiki/Q170084“,”display_name“:”Generalization“,”level“:2,”score“:0.645825},{”id“:”https://openalex.org/C132525143,“wikidata”:https://www.wikidata.org/wiki/Q141488“,”display_name“:”Graph“,”level“:2,”score“:0.5870029},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.57711786},{”id“:”https://openalex.org/C183003079,“wikidata”:https://www.wikidata.org/wiki/Q1000371“,”display_name“:”个性化“,”level“:2,”score“:0.5603788},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.5217277},{”id“:”https://openalex.org/C2780598303,“wikidata”:https://www.wikidata.org/wiki/Q65921492“,”display_name“:”灵活性(工程)“,”level“:2,”score“:0.4773838},{”id“:”https://openalex.org/C2776760102,“wikidata”:https://www.wikidata.org/wiki/Q5139900“,”“display_name”“:”代码(集合论)“,”级别“:3,”分数“:0.4716895},{”id“:”https://openalex.org/C124101348,“wikidata”:https://www.wikidata.org/wiki/Q172491“,”display_name“:”数据挖掘“,”level“:1,”score“:0.4080372},{”id“:”https://openalex.org/C80444323,“wikidata”:https://www.wikidata.org/wiki/Q2878974“,”display_name“:”理论计算机科学“,”level“:1,”score“:0.263416},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.09660661},{”id“:”https://openalex.org/C134306372,“wikidata”:https://www.wikidata.org/wiki/Q7754“,”display_name“:”数学分析“,”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/C177264268,“wikidata”:https://www.wikidata.org/wiki/Q1514741“,”display_name“:”Set(abstract data type)“,”level“:2,”score“:0.0},{”id“:”https://openalex.org/C136764020,“wikidata”:https://www.wikidata.org/wiki/Q466“,”display_name“:”万维网“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:2,”location“:[{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2210.10462“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is.in_doaj“:false,”is_core“:fase,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“other-oa”,“licence_id”:“https://openalex.org/licenses/other-oa网站“,”版本“:”提交版本“,”is_accepted“:false,”is_published“:false},{”is_oa“:false,”landing_page_url“:”https://api.datacite.org/dois/10.48550/arxiv.2210.10462“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4393179698“,”display_name“:”DataCite API“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”is_core“:false,”host_organization“:”https://openalex.org/I4210145204“,”“host_organization_name”:“DataCite”,“host_organization_lineage”:[“https://openalex.org/I4210145204“],”host_organization_lineage_names“:[”DataCite“],”type“:”metadata“},”license“:null,”license_id“:null,”version“:null}],”best_oa_location“:{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2210.10462“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is.in_doaj“:false,”is_core“:fase,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“other-oa”,“licence_id”:“https://openalex.org/licenses/other-oa网站“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},”sustainable_development_goals“:[{”id“:”https://metadata.un.org/sdg/10“,”score“:0.71,”display_name“:”减少的不平等“}],”grants“:[],”dataset“:[],”versions“:[],”referenced_works_count“:0,”referenced_works“:[],”related_works“:[”https://openalex.org/W4389116644","https://openalex.org/W4205463238","https://openalex.org/W3103844505","https://openalex.org/W2981954115","https://openalex.org/W2761785940","https://openalex.org/W259157601","https://openalex.org/W2521627374","https://openalex.org/W2153315159","https://openalex.org/W2110523656","https://openalex.org/W1482209366“],”ngrams_url“:”https://api.openalex.org/works/W4307010406/ngrams网站“,”“abstract_inverted_index”:{“Recent”:[0],“self-pervised”:[1],“pre-training”:[2],“methods”:[3],“on”:[4,26132],“异构”:[5,16,57],“Information”:[6],“Networks”:[7,19],“(HIN)”:[8],“have”:[9],监督”:[15148],“图形”:[17,58],“神经”:[18],“(HGNN).“:[20],“不幸”:[21],“他们的”:[22,43],“性能”:[23],“严重”:[24],“依赖”:[25],“小心”:[27],“定制”:[28],“的”:[29,75140],“各种”:[30],“策略”:[31],“用于”:[32],“生成”:[33],“高质量”:[34],“积极”:[35,68],“示例”:[36,69],“和”:[37,4511019146],“负数”:[38,71],“示例”,:[39],“其中”:[40,61,95],“特别是“:[41],“极限”:[42],“灵活性”:[44],“概括”:[46],“能力”。“:[47],“In”:[48,84],“this”:[49],“work”,:[50],“we”:-51],“present”:[52],“SHGP”,“:[53],“a”:[54],“novel”:55],“Self-supervised”:[56],“Pre-training”:[59],“approach”:“60],“does”:[62],“not”:-63],“need”:[64],“to”:[65101106126],“generate”:[66],“any”“:[67],”或“:[70],”示例。“:[72],“It”:[73],“composes”:[74],“two”:[76114],“modules”:[77115],“that”:[78],“share”:[79],“the”:[80,87,98103124137],“same”:[81],“attention aggregation”:[82],“scheme”。“:[83],”each“:[85121],”iteration“,”Att-LPA“:[88],”module“:[89105],”products“:[90],”pseudo-label“:[91],”through“:[92],”structural“:[93],”clustering“:[94],”serve“:[96],”as“:[97],”self-pervision“:[99],”signals“:[100],”guide“:[102],”Att-HGNN“:[104],”learn“:[107127],“对象”:[108],“嵌入”:[109],“注意”:[111],“系数”。“:[112],”The“:[113],”can“:[116],”effectively“:[117],”use“:[118],”enhance“:[120],”other“,”:[122],”promoting“:[123],”model“:[125],”discriminative“:[128],”embeddings。“:[129],“广泛”:[130],“实验”:[131],“四个”:[133],“真实世界”:[134],“数据集”:[135],“演示”:[136],“卓越”:[138],“有效性”:[139],“SHGP”:[141],“反对”:[142],“最先进”:[143],“无监督”:[144],“基线”:[145],“甚至”:[147],“基线”。“:[149],”我们“:[150],”发布“:[151],”我方“:[152],”源“:[153],”代码“:[154],”地址:“:[155],”https://github.com/kepsail/SHGP。“:[156]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W4307010406“,”counts_by_year“:[{”年份“:2024,”cited_by_count“:1},{”年“:2023,”cited_by_count”:2}],”更新日期“:”2024-07-04T19:47:15.482373“,”创建日期“:“2022-10-22”}