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Filtros : "Financiamento IBM" "Donghong, Ji" Limpar

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  • Trabalho de evento

    Modelling graph neural network by aggregating the activation maps of self-organizing map (2024)

    Martins, Luan Vinicius de Carvalho ; Donghong, Ji; Liang, Zhao

    Fonte: Proceedings. Nome do evento: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC

    Assuntos: REDES NEURAIS, TEORIA DOS GRAFOS

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    • 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: 09 nov. 2025.

    • 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 2025 nov. 09 ] 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 2025 nov. 09 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650514

  • Trabalho de evento

    TransGNN: a transductive graph neural network with graph dynamic embedding (2023)

    Anghinoni, Leandro ; Yu-Tao, Zhu; Donghong, Ji; Liang, Zhao

    Fonte: Proceedings. Nome do evento: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC

    Assuntos: APRENDIZADO COMPUTACIONAL, REDES NEURAIS

    PrivadoAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      ANGHINONI, Leandro et al. TransGNN: a transductive graph neural network with graph dynamic embedding. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191134. Acesso em: 09 nov. 2025.

    • APA

      Anghinoni, L., Yu-Tao, Z., Donghong, J., & Liang, Z. (2023). TransGNN: a transductive graph neural network with graph dynamic embedding. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191134

    • NLM

      Anghinoni L, Yu-Tao Z, Donghong J, Liang Z. TransGNN: a transductive graph neural network with graph dynamic embedding [Internet]. Proceedings. 2023 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191134

    • Vancouver

      Anghinoni L, Yu-Tao Z, Donghong J, Liang Z. TransGNN: a transductive graph neural network with graph dynamic embedding [Internet]. Proceedings. 2023 ;[citado 2025 nov. 09 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191134
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