danieloaAAU's repositories
Power_Control_GNN
This repository consist of the codes for the results in the paper- Power control for 6g industrial wireless subnetworks: a graph neural network approach
Graph-Neural-Network-in-wireless-communication-Papers
This repository contains list of publications on the application of Graph Neural Network in Wireless Communication
Bayesian-Optimization-of-Combinatorial-Structures
Bayesian Optimization of Combinatorial Structures
Combinatorial-Optimization-ML-Papers
"Science, however, is never conducted as a popularity contest, but instead advances through testable, reproducible, and falsifiable theories."― Michio Kaku
cyclic-poisson-forecasting-models
Various models for forecasting Poisson processes with cyclic underlying variability
Deep-Reinforcement-Learning-DQN
Deep Reinforcement Learning with DQN, Double DQN, Dueling DQN, Noisy Net (Noisy DQN), and DQN with Prioritized Experience Replay
DIRAL
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication
Primal_dual-MeshNet
Primal-Dual Mesh Convolutional Neural Networks
pysim5g
Python Simulator for Integrated Modelling of 5G (pysim5g)
Resilient_RRM_GNN_primal_dual
Implementation code for the paper "Learning Resilient Radio Resource Management Policies with Graph Neural Networks" (IEEE Transactions on Signal Processing)