Archives of Computational Methods in Engineering, Год журнала: 2024, Номер unknown
Опубликована: Апрель 30, 2024
Язык: Английский
Archives of Computational Methods in Engineering, Год журнала: 2024, Номер unknown
Опубликована: Апрель 30, 2024
Язык: Английский
IEEE Access, Год журнала: 2025, Номер 13, С. 19728 - 19754
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Archives of Computational Methods in Engineering, Год журнала: 2025, Номер unknown
Опубликована: Март 18, 2025
Язык: Английский
Процитировано
0Archives of Computational Methods in Engineering, Год журнала: 2024, Номер unknown
Опубликована: Апрель 30, 2024
Язык: Английский
Процитировано
3Опубликована: Июнь 26, 2024
Язык: Английский
Процитировано
3Sustainability, Год журнала: 2024, Номер 16(21), С. 9239 - 9239
Опубликована: Окт. 24, 2024
In this paper, we explore the emerging role of graph neural networks (GNNs) in optimizing routing for next-generation communication networks. Traditional protocols, such as OSPF or Dijkstra algorithm, often fall short handling complexity, scalability, and dynamic nature modern network environments, including unmanned aerial vehicle (UAV), satellite, 5G By leveraging their ability to model topologies learn from complex interdependencies between nodes links, GNNs offer a promising solution distributed scalable optimization. This paper provides comprehensive review latest research on GNN-based methods, categorizing them into supervised learning modeling, optimization, reinforcement tasks. We also present detailed analysis existing datasets, tools, benchmarking practices. Key challenges related real-world deployment, explainability, security are discussed, alongside future directions that involve federated learning, self-supervised online techniques further enhance GNN applicability. study serves first survey aiming inspire practical applications
Язык: Английский
Процитировано
3Archives of Computational Methods in Engineering, Год журнала: 2024, Номер unknown
Опубликована: Апрель 30, 2024
Язык: Английский
Процитировано
0