Modelling graph neural network by aggregating the activation maps of self-organizing map (2024)
- Authors:
- USP affiliated authors: LIANG, ZHAO - FFCLRP ; MARTINS, LUAN VINICIUS DE CARVALHO - ICMC
- Unidades: FFCLRP; ICMC
- DOI: 10.1109/IJCNN60899.2024.10650514
- Subjects: REDES NEURAIS; TEORIA DOS GRAFOS
- Keywords: graph neural networks; self-organizing maps
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2024
- Source:
- Título: Proceedings
- Conference titles: International Joint Conference on Neural Networks - IJCNN
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MARTINS, Luan Vinicius de Carvalho e DONGHONG, Ji e LIANG, Zhao. Modelling graph neural network by aggregating the activation maps of self-organizing map. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/IJCNN60899.2024.10650514. Acesso em: 22 jan. 2026. -
APA
Martins, L. V. de C., Donghong, J., & Liang, Z. (2024). Modelling graph neural network by aggregating the activation maps of self-organizing map. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN60899.2024.10650514 -
NLM
Martins LV de C, Donghong J, Liang Z. Modelling graph neural network by aggregating the activation maps of self-organizing map [Internet]. Proceedings. 2024 ;[citado 2026 jan. 22 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650514 -
Vancouver
Martins LV de C, Donghong J, Liang Z. Modelling graph neural network by aggregating the activation maps of self-organizing map [Internet]. Proceedings. 2024 ;[citado 2026 jan. 22 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650514 - WSI2ML: an open-source whole slide image annotation software for machine learning applications
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Informações sobre o DOI: 10.1109/IJCNN60899.2024.10650514 (Fonte: oaDOI API)
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