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Webas well as RouteNet [13] related to learning and inferring the QoS performance metrics in a network. In [11], the authors adopt a fully-connected feed-forward neural network to model the mean delay of a set of net-works using as input the trafﬁc matrix. The main goal is to understand how fundamental network characteristics (such as WebVadain

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WebThis draft introduces the scenarios and requirements for performance modeling of digital twin networks, and explores the implementation methods of network models, proposing a network modeling method based on graph neural networks (GNNs). This method combines GNNs with graph sampling techniques to improve the expressiveness and granularity of … WebOct 3, 2024 · In this paper we propose RouteNet, a novel network model based on Graph Neural Network (GNN) that is able to understand the complex relationship between …

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