network-modeling

Demo of RouteNet in ACM SIGCOMM'19

This repository contains datasets for network modeling simulated with OMNet++

This is a web-based tool for simulating network quality. Ideal for use with software routers on Linux platform. It focuses on simulating weak network (poor network) conditions, with built-in scenario models(3G, 4G, Wi-Fi, Starlink, etc.) and combinations of parameters such as packet loss, delay, jitter, and bandwidth limitation, etc.

Tutorial material presented at The ACM Web Conference 2023

1st place solution of ITU Graph Neural Networking Challenge 2023

Лабораторные работы по моделированию распределения радиоресурсов: модели ITU-R P.1238 и Окумура—Хата, алгоритмы Round Robin, Max Rate и Proportional Fair, анализ скорости, буферов и качества обслуживания в беспроводных сетях. (Моделирование систем распределения ресурсов: Гурнов К.Б. + Соколова К.Д.

Signal simulation engine for Law-N. Generates synthetic network.routes rows (devices, towers, G-layers, latency, signal quality) for testing N-SQL queries and CLSI prototypes.

R code to compute weighted literature-keyword co-occurrence scores and construct gene-set networks (Fig. 1c), from Mateo, He, Mei, et al. "Modification of BRCA1-associated breast cancer risk by HMMR overexpression." Nature Communications, 2022.

Python and NetworkX toolkit for benchmark-driven modeling of wired, 5G, MEC and hybrid ICT networks, analyzing topology, traffic, energy and cost for resilient critical infrastructure.

Find the shortest path to go to the party

A tool and a library for network modeling and analysis. Published to PYPI as "ngraph" (pip install ngraph).

A fire risk mapping tool that considers weather conditions and electrical network operating conditions, leveraging MATLAB and MATPOWER for analysis and visualization in rural areas of Greece.