ifaraag

ifaraag's Stars

• danieloaAAU/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

  Language:Jupyter Notebook12

• icsa-hua/5G-D2D-PowerAllocationModels

  A comparison of power allocation mechanisms for 5G D2D mobile communication networks

  Language:MATLAB11

• jwwthu/CommSurvey

  This is the repository for the collection of surveys and reviews in communication and networking domains.

  14517

• wyuaq/FPN-OAMP-THz-Channel-Estimation

  Pytorch codes for "An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation" in IEEE Journal of Selected Topics in Signal Processing (JSTSP), Jul. 2023.

  Language:Python4313

• xbresson/CS6208_2023

  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023

  Language:Jupyter Notebook31348

• wehos/awesome-graph-transformer

  Papers about graph transformers.

  79972

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.8k778

• ChandlerBang/GCond

  [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"

  Language:Python12517

• dianixn/Attention_Based_Neural_Networks_for_Wireless_Channel_Estimation

  Code for the paper Attention Based Neural Networks for Wireless Channel Estimation HA02

  Language:MATLAB446

• wendongbi/KT-GNN

  Implementation of the Knowledge Transferable Graph Neural Network (KTGNN), published on WWW2023

  Language:Python573

• AntonioLonga/PytorchGeometricTutorial

  Pytorch Geometric Tutorials

  Language:Jupyter Notebook1.1k308

• neunms/Reinforcement-learning-on-graphs-A-survey

  This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.

  15222

• willtop/Spatial_Deep_Learning_for_Wireless_Scheduling

  Language:Python2420

• yshenaw/GNN-Resource-Management

  Language:Python7129

• tharaka-perera/flex-net

  Language:Jupyter Notebook52

• rafaelmardojai/blanket

  Listen to different sounds

  Language:Python1.4k103

• zhongyuanzhao/distgcn

  Link Scheduling using Graph Neural Networks, IEEE TWC

  Language:Python298

• Yifan-Gu-SZU/GNN-aggregation-over-the-air

  Language:Python244

• GNN-based-MIMO-Detection/GNN-based-MIMO-Detection

  Language:Python2611

• tareq-si-salem/Online-Multi-Agent-Cache-Networks

  Simulator of experiments presented in "Enabling Long-term Fairness in Dynamic Resource Allocation", ACM SIGMETRICS 2023.

  Language:Python121

• qslim/gnn-spectrum

  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"

  Language:Python177

• tarik064/A-Deep-Learning-Based-Spectrum-Occupancy-Prediction-Model-for-Opportunistic-Access

  Language:Jupyter Notebook51

• zhangxiaochen95/hignn

  Code implementation for the paper ``Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks''.

  Language:Python194

• bl166/usca_power_control

  Deep unfolded SCA for power allocation in wireless system

  Language:Python134

• mdadams/sigsysbook_companion

  Companion Git Repository for Textbook "Signals and Systems"

  Language:MATLAB61

• psotoarenas/gnn-tutorial

  Tutorial for NoF 2022: "Building Network Digital Twins for Next-Generation WLANs using Graph Neural Networks"

  Language:Python41

• udeshmg/GTA-RL

  Attention based model for learning to solve different routing problems

  Language:Jupyter Notebook3510

• staschistyakov/Deep_Learning_Wireless_Networks

  Final year project (BEng Electronic Engineering with Management): Applications of Deep Learning in Resource Allocation in Wireless Networks

  Language:Jupyter Notebook82

• shaoxiongji/federated-learning

  A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

  Language:Python1.3k371

• hassaanhashmi/pd_zdpg_plus

  Code for IEEE MLSP 2021 paper titled "Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration"

  Language:Python102