TransGNN: a transductive graph neural network with graph dynamic embedding (2023)
- Authors:
- USP affiliated authors: LIANG, ZHAO - FFCLRP ; ANGHINONI, LEANDRO - ICMC
- Unidades: FFCLRP; ICMC
- DOI: 10.1109/IJCNN54540.2023.10191134
- Subjects: APRENDIZADO COMPUTACIONAL; REDES NEURAIS
- Keywords: community detection; transductive learning; graph neural network; inductive learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2023
- Source:
- Título: Proceedings
- Conference titles: International Joint Conference on Neural Networks - IJCNN
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 02 out. 2024. -
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 2024 out. 02 ] 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 2024 out. 02 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191134 - Characterizing data patterns with core-periphery network modeling
- Time series trend detection and forecasting using complex network topology analysis
- Classificação e previsão de séries temporais através de redes complexas
- Temporal network pattern identification by community modelling
- Time series pattern identification by hierarchical community detection
- Structure characterization of complex networks for machine learning
- Analysis of the effectiveness of public health measures on COVID-19 transmission
- Redes de elementos complexos para processamento de informação
- Structural outlier detection: a tourist walk approach
- Network-based high level data classification
Informações sobre o DOI: 10.1109/IJCNN54540.2023.10191134 (Fonte: oaDOI API)
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
3152096.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas