A non-negative matrix factorization approach to update communities in temporal networks using node features (2019)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1145/3341161.3343677
- Subjects: RECONHECIMENTO DE PADRÕES; FATORIZAÇÃO DE MATRIZES; ALGORITMOS ÚTEIS E ESPECÍFICOS
- Keywords: community detection; non-negative matrix factorization; temporal networks; node attributes
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference titles: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MÁRQUEZ, Renny e WEBER, Richard e CARVALHO, André Carlos Ponce de Leon Ferreira de. A non-negative matrix factorization approach to update communities in temporal networks using node features. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3341161.3343677. Acesso em: 19 abr. 2024. -
APA
Márquez, R., Weber, R., & Carvalho, A. C. P. de L. F. de. (2019). A non-negative matrix factorization approach to update communities in temporal networks using node features. In Proceedings. New York: ACM. doi:10.1145/3341161.3343677 -
NLM
Márquez R, Weber R, Carvalho ACP de LF de. A non-negative matrix factorization approach to update communities in temporal networks using node features [Internet]. Proceedings. 2019 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1145/3341161.3343677 -
Vancouver
Márquez R, Weber R, Carvalho ACP de LF de. A non-negative matrix factorization approach to update communities in temporal networks using node features [Internet]. Proceedings. 2019 ;[citado 2024 abr. 19 ] Available from: https://doi.org/10.1145/3341161.3343677 - Reduction strategies for hierarchical multi-label classification in protein function prediction
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Informações sobre o DOI: 10.1145/3341161.3343677 (Fonte: oaDOI API)
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