Name: Barcelona Neural Networking Center
Type: Organization
Bio: BNN has been created with the main goals of carrying fundamental research in the field of Graph Neural Network applied to Computer Networks
Twitter: bnn_upc
Location: Barcelona
Blog: https://bnn.upc.edu/
Barcelona Neural Networking Center's Projects
This repository contains de code and instructions to train the models and prepare the datasets for the experiments in the paper "Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks" accepted at the 2nd ACM CONEXT GNNet 2023 Workshop.
BNNetSimulator is a packet-level network simulator to generate datasets for research and analysis.
Code used in the paper "ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning". In this paper, the DRL agent is implemented with the PPO algorithm
RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/)
Framework for fast prototyping of Graph Neural Networks
This repository contains datasets for network modeling simulated with OMNet++
A list of our publications.