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ETHNOS_APP

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Yanxian Bi

Dados Biográficos

ID10054331
NOMEYanxian Bi
PRENOMESYanxian
SOBRENOMEBi
ASSINATURABI Y
AFILIAÇÕESChina Academy of Information and Communications Technology
ORCID0009-0007-0674-9767
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2026
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • Unified Network Embedding via Mutual Fusion of Communities and Roles

    Open Access•Pengfei Jiao, W Zhang et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Most network embedding (NE) methods are either based on the proximity for community-guided tasks or on the structural similarity for role-oriented tasks. While being prevalent and effective, there still exists some potential issues that need further attention: 1) community and role are always regarded as orthogonal problems. They have rarely been combined to model the latent structures within the complex network. However, the generation of the ne…

Sem obras proeminentes nesta página.

  • Unified Network Embedding via Mutual Fusion of Communities and Roles

    Open Access•Pengfei Jiao, W Zhang et al.•ARTICLE•IEEE Transactions on Computational…•2026

    Most network embedding (NE) methods are either based on the proximity for community-guided tasks or on the structural similarity for role-oriented tasks. While being prevalent and effective, there still exists some potential issues that need further attention: 1) community and role are always regarded as orthogonal problems. They have rarely been combined to model the latent structures within the complex network. However, the generation of the ne…

Advanced Graph Neural Networks (1 obras) · Complex Network Analysis Techniques (1 obras) · Embedding (1 obras) · Fusion (1 obras) · Intelligent Network (1 obras) · Opportunistic and Delay-Tolerant Networks (1 obras) · Sensor Fusion (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae