Unsupervised heterogeneous graph neural network for hit song prediction through one class learning (2022)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; SILVA, ANGELO CESAR MENDES DA - ICMC ; GÔLO, MARCOS PAULO SILVA - ICMC
- Unidade: ICMC
- DOI: 10.5753/kdmile.2022.227954
- Subjects: REDES NEURAIS; APRENDIZADO COMPUTACIONAL; RECUPERAÇÃO DA INFORMAÇÃO; REPRESENTAÇÃO DA INFORMAÇÃO; MÚSICA
- Keywords: graph-based representation; heterogeneous graph; music representation; one class hit song prediction
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2022
- Source:
- Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SILVA, Angelo Cesar Mendes da e GÔLO, Marcos Paulo Silva e MARCACINI, Ricardo Marcondes. Unsupervised heterogeneous graph neural network for hit song prediction through one class learning. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/kdmile.2022.227954. Acesso em: 30 mar. 2026. -
APA
Silva, A. C. M. da, Gôlo, M. P. S., & Marcacini, R. M. (2022). Unsupervised heterogeneous graph neural network for hit song prediction through one class learning. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2022.227954 -
NLM
Silva ACM da, Gôlo MPS, Marcacini RM. Unsupervised heterogeneous graph neural network for hit song prediction through one class learning [Internet]. Anais. 2022 ;[citado 2026 mar. 30 ] Available from: https://doi.org/10.5753/kdmile.2022.227954 -
Vancouver
Silva ACM da, Gôlo MPS, Marcacini RM. Unsupervised heterogeneous graph neural network for hit song prediction through one class learning [Internet]. Anais. 2022 ;[citado 2026 mar. 30 ] Available from: https://doi.org/10.5753/kdmile.2022.227954 - On the use of Query by Committee for Human-in-the-Loop Named Entity Recognition
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