The amazon-reviews network is a hypergraph where hyperedges are sets of products reviews on Amazon, as collected by Jianmo Ni, Jiacheng Li, Julian McAuley. Nodes are labeled by their product categories. Some summary statistics of the dataset are:
number of nodes: 2,268,231
number of hyperedges: 4,285,363
mean / median hyperedge size: 17.1 / 8
rank of hypergraph (maximum hyperedge size): 9,350
number of node classes: 29
Data files:
If you use this data, please cite the following paper:
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects.
Jianmo Ni, Jiacheng Li, Julian McAuley.
EMNLP, 2019.
[bibtex]
Some data preprocessing is made by Nate Veldt, Austin R. Benson, and Jon Kleinberg for local hypergraph clustering.
Data files:
If you use this data, please cite the following paper:
Minimizing Localized Ratio Cut Objectives in Hypergraphs.
Nate Veldt, Austin R. Benson, and Jon Kleinberg.
KDD, 2020.
[bibtex]