Aachen Higher-Order Repository of Networks

There is a newer version of the record available.

Published February 13, 2026 | Version 1
Dataset Open

Cora Co-Authorship

Authors/Creators

  • 1. ROR icon RWTH Aachen University

Contributors

Data curator:

  • 1. ROR icon RWTH Aachen University

Description

The Cora co-authorship network is a hypergraph where nodes are authors from the Cora dataset and hyperedges are papers, representing sets of authors who collaborated on a publication.
Each author is labeled with their primary research area, inferred from the majority research area of their publications.
The research areas include Case-Based Reasoning, Genetic Algorithms, Neural Networks, Probabilistic Methods, Reinforcement Learning, Rule Learning, and Theory.
This dataset is commonly used as a benchmark in hypergraph learning tasks for author classification and link prediction.
 

Files

Files (19.1 kB)

Name Size Download all
md5:e4119887b3cebeee7169b42182b8e71f
19.1 kB Download

Additional details

Funding

European Commission
HIGH-HOPeS - Higher-Order Hodge Laplacians for Processing of multi-way Signals 101039827

Software

Repository URL
https://github.com/netsci-rwth/ahorn
Programming language
Python
Development Status
Wip