Attribution and license

Attribution

The data belongs to the Stanford Network Analysis Project. This package only indexes and fetches it. Please cite the datasets you use — Dataset.citations carries the reference SNAP asks for — and cite the collection itself:

Jure Leskovec and Andrej Krevl. SNAP Datasets: Stanford Large Network Dataset Collection. https://snap.stanford.edu/data, 2014.

KONECT asks you to cite the collection alongside each network’s own reference (both are in Dataset.citations):

Jérôme Kunegis. KONECT – The Koblenz Network Collection. Proc. Int. Conf. on World Wide Web Companion, 1343–1350, 2013.

OGB and PyG are other people’s collections too. Cite them if you use them:

Weihua Hu et al. Open Graph Benchmark: Datasets for Machine Learning on Graphs. NeurIPS 2020. — and the paper behind each individual dataset.

Matthias Fey and Jan Eric Lenssen. Fast Graph Representation Learning with PyTorch Geometric. ICLR Workshop on Representation Learning on Graphs and Manifolds, 2019.

AHORN is a repository in its own right, and it asks you to cite two things separately: the original source publication for a dataset — the BibTeX in Dataset.citations, plus the Zenodo record when the exact revision matters — and the repository itself, in ahorn.CITATION:

Florian Frantzen and Michael T. Schaub. A repository for discovery and reuse of higher-order network datasets. arXiv:2608.03491 (2026).

Licences on AHORN records are the upstream source’s, and grant nothing beyond what that source already allowed.

generate.lfr runs Andrea Lancichinetti and Santo Fortunato’s own programs, downloaded on demand from their MIT-licensed repository. If you publish LFR results, cite them:

Andrea Lancichinetti, Santo Fortunato and Filippo Radicchi. Benchmark graphs for testing community detection algorithms. Phys. Rev. E 78, 046110 (2008).

Andrea Lancichinetti and Santo Fortunato. Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities. Phys. Rev. E 80, 016118 (2009).

License

MIT (see LICENSE). Applies to this package, not to the datasets it downloads.