Re: [Kdn-users] GBN topology

Hello Nathan, All these datasets where used in our paper: Krzysztof Rusek, José Suárez-Varela, Albert Mestres, Pere Barlet-Ros, Albert Cabellos-Aparicio; "Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN," in Proceedings of ACM Symposium on SDN Research (SOSR) , pp. 140-151, April 2019. Particularly, we trained RouteNet only with samples of the NSFNET dataset to predict the delay and jitter. Then, we evaluate the accuracy of the models already trained. This evaluation is made separately on the three datasets (NSFNET, GBN and GEANT2) to test the generalization capability of the model. Please, find more details in Section 4 (Evaluation of the accuracy of the GNN model) of the paper. Also, you can find information on how to process the datasets at the following link: http://knowledgedefinednetworking.org/data/README_gnn.pdf Regards, José El 22/09/2019 a las 16:55, Nathan Sowatskey escribió: