paulalmasan

Atom_Neural_Traffic_Compression

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.

ENERO

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

ignnition

Framework for fast prototyping of Graph Neural Networks

demo-routenet

Demo of RouteNet in ACM SIGCOMM'19

DRL-GNN

net2vec

This repository is a collection of machine learning models for computer networks.

sionna

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

DRL-GNN-PPO

PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"

net2vec

This repository is a collection of machine learning models for computer networks.

Papers-in-short

paulalmasan/DRL-GNN-PPO

PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"

paulalmasan/Papers-in-short

paulalmasan/net2vec

This repository is a collection of machine learning models for computer networks.