BNNetSimulator network-simulation toolkit
收藏Zenodo2025-08-01 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.15682739
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资源简介：
This project contains a dataset generated with the BNNetSimulator network-simulation toolkit.The goal of the project is that the user can experiment with how Graph Neural Networks predict end-to-end metrics across heterogeneous topologies, adaptive routings and varying traffic loads. The files available contain graph descriptions, routing paths, traffic matrices, simulator settings, run logs, and the metrics needed to train, validate and test a model. With the materials inside the gnntrainer folder you can replay every case listed in simulation.txt and recreate the simulator outputs exactly as they were produced.
This information can also be found in the next link, please check it for updates: https://gitlab.netcom.it.uc3m.es/predict-6g/gnntrainer/-/tree/main
This work has been funded by the European Commission Horizon Europe SNS JU PREDICT-6G (GA 101095890) Project.
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Zenodo创建时间：
2025-06-17
