Graph Covariance Structure Testing

This is the repository gathering the experiments for the EUSIPCO2026 paper ``Graph Signal Surrogate Generation for Statistical Testing of Covariance Structure on Directed Graphs". All figures can be re-generated from this repository.

Run Experiments

# List all available experiments
python -m experiments.run --list

# Run a specific experiment
python -m experiments.run --paper paper_test_covar --experiment exp_asymmetry_erdos_graph

In each experiment folders are located config files you can change to modify the input parameters to experiments.

Installation

Run the command: pip install -r requirements.txt pip install -i https://test.pypi.org/simple/ flowGSP

Requirements

Listed in requirements.txt.

Contents

• Figures from paper ``Graph Signal Surrogate Generation for Statistical Testing of Covariance Structure on Directed Graphs"

Core Module

This repository uses the core module FlowGSP implementation powering the Graph Signal Surrogate Generation for Statistical Testing of Covariance Structure on Directed Graphs experiments and all reproducible figures from the paper.