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Trabalho de evento-anais periodico
Deep graph clustering using graph neural networks and seed detection (2026)
Lopes Filho, Carlos Pereira ; Messias, Guilherme Henrique ; Iasulaitis, Sylvia ; Lopes, Alneu de Andrade ; Valejo, Alan Demetrius Baria
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: REDES NEURAIS, TEORIA DOS GRAFOS
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ABNT
LOPES FILHO, Carlos Pereira et al. Deep graph clustering using graph neural networks and seed detection. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15987-8_23. Acesso em: 29 mar. 2026. , 2026
APA
Lopes Filho, C. P., Messias, G. H., Iasulaitis, S., Lopes, A. de A., & Valejo, A. D. B. (2026). Deep graph clustering using graph neural networks and seed detection. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15987-8_23
NLM
Lopes Filho CP, Messias GH, Iasulaitis S, Lopes A de A, Valejo ADB. Deep graph clustering using graph neural networks and seed detection [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16179 347-361.[citado 2026 mar. 29 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_23
Vancouver
Lopes Filho CP, Messias GH, Iasulaitis S, Lopes A de A, Valejo ADB. Deep graph clustering using graph neural networks and seed detection [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16179 347-361.[citado 2026 mar. 29 ] Available from: https://doi.org/10.1007/978-3-032-15987-8_23
Trabalho de evento
One-mode projection of bipartite graphs for text classification using graph neural networks (2025)
Santos, Nícolas Roque dos ; Minatel, Diego ; Valejo, Alan Demetrius Baria ; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing. Unidade: ICMC
Subjects: REDES NEURAIS, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO
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ABNT
SANTOS, Nícolas Roque dos et al. One-mode projection of bipartite graphs for text classification using graph neural networks. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3672608.3707879. Acesso em: 29 mar. 2026.
APA
Santos, N. R. dos, Minatel, D., Valejo, A. D. B., & Lopes, A. de A. (2025). One-mode projection of bipartite graphs for text classification using graph neural networks. In Proceedings. New York: ACM. doi:10.1145/3672608.3707879
NLM
Santos NR dos, Minatel D, Valejo ADB, Lopes A de A. One-mode projection of bipartite graphs for text classification using graph neural networks [Internet]. Proceedings. 2025 ;[citado 2026 mar. 29 ] Available from: https://doi.org/10.1145/3672608.3707879
Vancouver
Santos NR dos, Minatel D, Valejo ADB, Lopes A de A. One-mode projection of bipartite graphs for text classification using graph neural networks [Internet]. Proceedings. 2025 ;[citado 2026 mar. 29 ] Available from: https://doi.org/10.1145/3672608.3707879
Artigo de periodico
Artist similarity based on heterogeneous graph neural networks (2024)
Silva, Angelo Cesar Mendes da ; Silva, Diego Furtado ; Marcacini, Ricardo Marcondes
Source: IEEE/ACM Transactions on Audio, Speech, and Language Processing. Unidade: ICMC
Subjects: REDES NEURAIS, RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE PADRÕES, MÚSICA
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ABNT
SILVA, Angelo Cesar Mendes da e SILVA, Diego Furtado e MARCACINI, Ricardo Marcondes. Artist similarity based on heterogeneous graph neural networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing, v. 32, p. 3717-3729, 2024Tradução . . Disponível em: https://doi.org/10.1109/TASLP.2024.3437170. Acesso em: 29 mar. 2026.
APA
Silva, A. C. M. da, Silva, D. F., & Marcacini, R. M. (2024). Artist similarity based on heterogeneous graph neural networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 32, 3717-3729. doi:10.1109/TASLP.2024.3437170
NLM
Silva ACM da, Silva DF, Marcacini RM. Artist similarity based on heterogeneous graph neural networks [Internet]. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2024 ; 32 3717-3729.[citado 2026 mar. 29 ] Available from: https://doi.org/10.1109/TASLP.2024.3437170
Vancouver
Silva ACM da, Silva DF, Marcacini RM. Artist similarity based on heterogeneous graph neural networks [Internet]. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2024 ; 32 3717-3729.[citado 2026 mar. 29 ] Available from: https://doi.org/10.1109/TASLP.2024.3437170
Artigo de periodico
The impact of representation learning on unsupervised graph neural networks for one-class recommendation (2024)
Gôlo, Marcos Paulo Silva ; Moraes, Leonardo Gonçalves de ; Goularte, Rudinei ; Marcacini, Ricardo Marcondes
Source: Journal of Information and Data Management - JIDM. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, SISTEMAS DE RECOMENDAÇÃO, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva et al. The impact of representation learning on unsupervised graph neural networks for one-class recommendation. Journal of Information and Data Management - JIDM, v. 15, n. 1, p. 112-122, 2024Tradução . . Disponível em: https://doi.org/10.5753/jidm.2024.3317. Acesso em: 29 mar. 2026.
APA
Gôlo, M. P. S., Moraes, L. G. de, Goularte, R., & Marcacini, R. M. (2024). The impact of representation learning on unsupervised graph neural networks for one-class recommendation. Journal of Information and Data Management - JIDM, 15( 1), 112-122. doi:10.5753/jidm.2024.3317
NLM
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. The impact of representation learning on unsupervised graph neural networks for one-class recommendation [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 112-122.[citado 2026 mar. 29 ] Available from: https://doi.org/10.5753/jidm.2024.3317
Vancouver
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. The impact of representation learning on unsupervised graph neural networks for one-class recommendation [Internet]. Journal of Information and Data Management - JIDM. 2024 ; 15( 1): 112-122.[citado 2026 mar. 29 ] Available from: https://doi.org/10.5753/jidm.2024.3317
Trabalho de evento
On the use of aggregation functions for semi-supervised network embedding (2023)
Moraes Junior, Marcelo Isaias de ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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ABNT
MORAES JUNIOR, Marcelo Isaias de e MARCACINI, Ricardo Marcondes. On the use of aggregation functions for semi-supervised network embedding. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191468. Acesso em: 29 mar. 2026.
APA
Moraes Junior, M. I. de, & Marcacini, R. M. (2023). On the use of aggregation functions for semi-supervised network embedding. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191468
NLM
Moraes Junior MI de, Marcacini RM. On the use of aggregation functions for semi-supervised network embedding [Internet]. Proceedings. 2023 ;[citado 2026 mar. 29 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191468
Vancouver
Moraes Junior MI de, Marcacini RM. On the use of aggregation functions for semi-supervised network embedding [Internet]. Proceedings. 2023 ;[citado 2026 mar. 29 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191468
Dissertação (Mestrado)
Node concordance: a local homophily prediction task in graphs (2023)
Martinelli, Caio Lorenzetti; Mauá, Denis Deratani (Orientador)
Unidade: IME
Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, TEORIA DOS GRAFOS
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ABNT
MARTINELLI, Caio Lorenzetti. Node concordance: a local homophily prediction task in graphs. 2023. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://teses.usp.br/teses/disponiveis/45/45134/tde-25092023-200028/. Acesso em: 29 mar. 2026.
APA
Martinelli, C. L. (2023). Node concordance: a local homophily prediction task in graphs (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://teses.usp.br/teses/disponiveis/45/45134/tde-25092023-200028/
NLM
Martinelli CL. Node concordance: a local homophily prediction task in graphs [Internet]. 2023 ;[citado 2026 mar. 29 ] Available from: https://teses.usp.br/teses/disponiveis/45/45134/tde-25092023-200028/
Vancouver
Martinelli CL. Node concordance: a local homophily prediction task in graphs [Internet]. 2023 ;[citado 2026 mar. 29 ] Available from: https://teses.usp.br/teses/disponiveis/45/45134/tde-25092023-200028/
Trabalho de evento
One-class recommendation through unsupervised graph neural networks for link prediction (2022)
Gôlo, Marcos Paulo Silva ; Moraes, Leonardo Gonçalves de; Goularte, Rudinei ; Marcacini, Ricardo Marcondes
Source: Anais. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: ICMC
Subjects: SISTEMAS DE RECOMENDAÇÃO, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÔLO, Marcos Paulo Silva et al. One-class recommendation through unsupervised graph neural networks for link prediction. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/kdmile.2022.227810. Acesso em: 29 mar. 2026.
APA
Gôlo, M. P. S., Moraes, L. G. de, Goularte, R., & Marcacini, R. M. (2022). One-class recommendation through unsupervised graph neural networks for link prediction. In Anais. Porto Alegre: SBC. doi:10.5753/kdmile.2022.227810
NLM
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. One-class recommendation through unsupervised graph neural networks for link prediction [Internet]. Anais. 2022 ;[citado 2026 mar. 29 ] Available from: https://doi.org/10.5753/kdmile.2022.227810
Vancouver
Gôlo MPS, Moraes LG de, Goularte R, Marcacini RM. One-class recommendation through unsupervised graph neural networks for link prediction [Internet]. Anais. 2022 ;[citado 2026 mar. 29 ] Available from: https://doi.org/10.5753/kdmile.2022.227810
Trabalho de evento
Deep reinforcement learning for visual semantic navigation with memory (2020)
Santos, Iury Batista de Andrade; Romero, Roseli Aparecida Francelin
Source: Proceedings. Conference titles: Latin American Robotics Symposium - LARS. Unidade: ICMC
Subjects: ROBÓTICA, VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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ABNT
SANTOS, Iury Batista de Andrade e ROMERO, Roseli Aparecida Francelin. Deep reinforcement learning for visual semantic navigation with memory. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307029. Acesso em: 29 mar. 2026.
APA
Santos, I. B. de A., & Romero, R. A. F. (2020). Deep reinforcement learning for visual semantic navigation with memory. In Proceedings. Piscataway: IEEE. doi:10.1109/LARS/SBR/WRE51543.2020.9307029
NLM
Santos IB de A, Romero RAF. Deep reinforcement learning for visual semantic navigation with memory [Internet]. Proceedings. 2020 ;[citado 2026 mar. 29 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307029
Vancouver
Santos IB de A, Romero RAF. Deep reinforcement learning for visual semantic navigation with memory [Internet]. Proceedings. 2020 ;[citado 2026 mar. 29 ] Available from: https://doi.org/10.1109/LARS/SBR/WRE51543.2020.9307029

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