zenodoopen
hybrid-graph-benchmark
<p>This is a benchmark dataset for evaluating <strong>hybrid-graph</strong> (hypergraph and hierarchical graph) learning algorithms. It contains:</p> <ul> <li>21 real-world higer-order graphs from the domains of biology, social media, and wikipedia</li> </ul> <p>For accessing additional functionalities, please access through <a href="https://github.com/Zehui127/hybrid-graph-benchmark">Project Page</a></p> <ul> <li>Built-in functionalities for preprocessing hybrid-graphs</li> <li>A framework to easily train and evaluate Graph Neural Networks</li> </ul>
ShareScore
48/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 8