Featured Dataset
DBLP Co-Authorship
The DBLP co-authorship network is a hypergraph where nodes are authors from the DBLP computer science bibliography database and hyperedges are papers, representing sets of authors who collaborated on a publication. Each author is labeled with their primary research
File Size434.7 KB
Data TypeDataset
Published2026
Total Views414
Total Downloads122
The DBLP co-authorship network is a hypergraph where nodes are authors from the DBLP computer science bibliography database 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 Database, Data Mining, AI, Information Retrieval, Computer Vision, and Machine Learning.
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). DBLP Co-Authorship. https://doi.org/10.5281/zenodo.19232918