Featured Dataset
Cora Co-Authorship
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 majori
File Size16.5 KB
Data TypeDataset
Published2026
Total Views186
Total Downloads116
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.
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Files are hosted on the source repository. Click download to access the full dataset.
Computational Network Science (2026). Cora Co-Authorship. https://doi.org/10.5281/zenodo.19232933