Hypergraphx-data: a repository for higher-order network data

2026-05-18

AI Summary

This work addresses the limitation of existing network dataset repositories, which predominantly support pairwise interactions and are ill-suited for modeling higher-order, multi-entity relationships. To bridge this gap, the authors present the first open repository dedicated to real-world hypergraphs, systematically curating diverse hypergraph datasets spanning social, biological, financial, and other domains. The repository supports weighted, directed, temporal, and multi-structure hypergraphs and provides rich metadata and relational annotations. Data are stored in open JSON and Hypergraphx binary formats, complemented by hash-based integrity checks, version control, and an intuitive user interface to ensure accessibility and reproducibility. This resource significantly fills the void in shared higher-order interaction data and is poised to accelerate research and applications in hypergraph analytics.

Abstract

The availability of network datasets advances research in network science, machine learning and related fields by enabling empirical analyses and their reproducibility, algorithm development, model validation and benchmarking. Existing repositories, such as SNAP and Netzschleuder, have made traditional network datasets widely accessible with metadata, metrics, and basic visualizations. However, they primarily focus on pairwise interactions, limiting data access to systems with many-body interactions. To address this gap, we created hypergraphx-data, a repository of real-world hypergraph datasets for higher-order network analysis, spanning different domains from social networks to biology and finance, and supporting configurations such as weighted, directed, temporal, and multiplex hypergraphs. Each dataset includes relational information and metadata, provided in an open JSON format and a binarized format for Hypergraphx. We provide a user-friendly interface to facilitate browsing, filtering, and accessing the datasets, while also ensuring integrity and reproducibility through hash-based verification and data versioning. The repository is available at https://hgx-team.github.io/hypergraphx-data

Problem

• hypergraph
• higher-order interactions
• network data repository
• many-body interactions
• data accessibility

Innovation

• hypergraph
• higher-order networks
• data repository
• reproducibility
• temporal hypergraphs