Skip to main content
zenodoopen

hybrid-graph-benchmark

<p>This is a benchmark dataset for evaluating&nbsp;<strong>hybrid-graph</strong>&nbsp;(hypergraph and hierarchical graph) learning algorithms. It contains:</p> <ul> <li>21&nbsp;real-world higer-order graphs from the domains of biology, social media, and wikipedia</li> </ul> <p>For accessing additional functionalities, please access through&nbsp;<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

Topics