GNN Trainer
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This dataset bundles the graph descriptions, traffic matrices, routing paths, simulator settings and ground-truth performance metrics produced by BNNetSimulator for the gnntrainer project. It is intended as a compact testbed for researchers who want to train and validate Graph Neural Network models that predict end-to-end network behaviour across heterogeneous topologies and varied load patterns. This information can also be found in the next link, please check it for updates: PREDICT 6G / GNN Trainer - GitLab (uc3m.es) 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：
2025-07-30
