The Open Graph Archive: A Community-Driven Effort

TL;DR

The paper introduces the Open Graph Archive, a community-driven platform designed to collect, annotate, and share diverse graph instances to facilitate benchmarking, reproducibility, and comparison of graph algorithms.

Contribution

It presents the design and goals of a new open, community-maintained graph archive to support research and reproducibility in graph algorithm evaluation.

Findings

Community involvement is key to building a comprehensive graph repository.

The archive aims to include both real-world and synthetic graph instances.

It will support annotations with properties and experimental references.

Abstract

In order to evaluate, compare, and tune graph algorithms, experiments on well designed benchmark sets have to be performed. Together with the goal of reproducibility of experimental results, this creates a demand for a public archive to gather and store graph instances. Such an archive would ideally allow annotation of instances or sets of graphs with additional information like graph properties and references to the respective experiments and results. Here we examine the requirements, and introduce a new community project with the aim of producing an easily accessible library of graphs. Through successful community involvement, it is expected that the archive will contain a representative selection of both real-world and generated graph instances, covering significant application areas as well as interesting classes of graphs.