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DiffSG: Diffusion for Solution Generation in Network Optimization

Introduction

This repository contains code for exploratory experiments using generative diffusion models as solution generators for network optimization problems (classifier-free guidance DDPM, in torch).

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baselines: The implementation of the baselines used in the article.

datasets: Dataset creation tools and some ready-made datasets.

ddpm_opt: Neural network, model, training and evaluation scripts.

utils: Dataset processing tools, etc.

About

This is the official repository for "DiffSG: A Generative Solver for Network Optimization with Diffusion Model" and "Diffusion Models as Network Optimizers: Explorations and Analysis".

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