Published March 26, 2026
| Version 2
Dataset
Open
Cora Co-Authorship
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
(16.9 kB)
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md5:0884ff440e8c26143cd001b39d87f70c
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Additional details
Funding
Software
- Repository URL
- https://github.com/netsci-rwth/ahorn
- Programming language
- Python
- Development Status
- Wip