Published May 29, 2023
| Version 0.2
Dataset
Open
hybrid-graph-benchmark
Description
This is a benchmark dataset for evaluating hybrid-graph (hypergraph and hierarchical graph) learning algorithms. It contains:
- 21 real-world higer-order graphs from the domains of biology, social media, and wikipedia
For accessing additional functionalities, please access through Project Page
- Built-in functionalities for preprocessing hybrid-graphs
- A framework to easily train and evaluate Graph Neural Networks
Files
grand_ArteryAorta.json
Files
(6.2 GB)
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Additional details
Funding
- 21EBTA: EB-AI Consortium for Bioengineered Cells & Systems (AI-4-EB) BB/W013770/1
- UK Research and Innovation