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-knowledge-defined-networking

adaptive-network-slicing

Project holding the implementation and results of my thesis project at University of Trento, Italy

assessing-mininet_zootopo

Framework for testing the Mininet network simulator.

awesome-federated-learning-on-graph-and-gnn-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

benchmark

A microbenchmark support library

blockchain-gnn-research

Research papers, experiments, and ideas for the application of GNNs to blockchain data

code

面试高频算法题总结

codinginterviewchinese2

《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码

congestioncontrolinsdn

create a application for SDN QoS routing, use the traditional method (shortest path or ECMP) for primary routing, when congestion happened, interest things happen

ddpg-for-sdn-routing-optimization

ddpg-ros-keras

An implementation of the Deep Deterministic Policy Gradient (DDPG) algorithm using Keras/Tensorflow with the robot simulated using ROS/Gazebo/MoveIt!

deeplearningsystem

Deep Learning System core principles introduction.

different-applications-of-sdn-using-mininet

In traditional networks, the control and the data plane are combined in the network node. In this approach, once the flow management has been defined, the only way to make an adjustment to the policy is via reconfiguration of the devices. With increasing use of mobile devices, the scaling of networks as per changing traffic demands is restricted by

drl

Deep Reinforcement Learning

drl-m4mr

DRL-M4MR: An intelligent multicast routing approach based on DQN deep reinforcement learning in SDN

drl-network-path-selection-for-multimedia-traffic-in-sdns

drl_ids_sdn

drsir-drl-routing-approach-for-sdn

eces-topologies

Provides typical topologies (Topology Zoo, GML import, grid, etc.) using the network library of the ECES framework.

engineering_project

This repository contains an implemented system, which could ease the process of implementing the QoS policies, using SDN and programmable data planes.

flow-control-with-mininet-and-ryu

Flow control implementation in a emulated environment (mininet) using ryu controller.

gnn-1

Tutorial about Graph Convolutional Network(GCN)

gnn-algorithms

图神经网络相关算法详述及实现

gnn-communication-networks

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

gnnetworkingchallenge

RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/)

gnnpapers

Must-read papers on graph neural networks (GNN)

gnns-for-nlp

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020