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license: apache-2.0
pretty_name: HyperAlign-Bench
tags:
- hypergraph
- large-language-models
- qwen3
- hyper-align
- hypergraph-as-language
- hyperalign-bench
- arxiv:2605.21858
---
# HyperAlign-Bench
This repository contains the released **HyperAlign-Bench** data bundle for the paper **Hypergraph as Language**.
HyperAlign-Bench is a benchmark for evaluating high-order association modeling in hypergraph-language alignment. It provides vertex classification and hyperedge classification tasks under the same question-answering protocol used by **Hyper-Align**.
The released bundle includes processed hypergraph tensors, task samples, prebaked samples, Qwen3-Embedding-0.6B features, and overview features for five datasets.
## Files
```text
arxiv_hg/
cora_cc/
pubmed/
dblp/
imdb/
```
Each dataset directory follows this structure:
```text
processed_data.pt
meta.json
samples/
embeddings/qwen3emb_0.6b/
overview/qwen3emb_0.6b/
```
- `processed_data.pt` contains the processed hypergraph data.
- `meta.json` contains dataset metadata.
- `samples/` contains the VC and HEC task samples.
- `embeddings/qwen3emb_0.6b/` contains node and hyperedge text features.
- `overview/qwen3emb_0.6b/` contains overview features used by the released Hyper-Align pipeline.
For code, setup, and evaluation instructions, see the GitHub repository:
https://github.com/Mengqi-Lei/Hypergraph-as-Language
## License
The HyperAlign-Bench release is distributed under the Apache License 2.0.
Qwen3-Embedding-0.6B is not redistributed here as a model. Users must comply with the license and terms of the upstream model repository:
- `Qwen/Qwen3-Embedding-0.6B`
## Citation
If you use this dataset, please cite:
```bibtex
@article{lei2026hypergraph,
title={Hypergraph as Language},
author={Lei, Mengqi and Xie, Guohuan and Ying, Shihui and Du, Shaoyi and Yong, Jun-Hai and Li, Siqi and Gao, Yue},
journal={arXiv preprint arXiv:2605.21858},
year={2026}
}
```
## Links
- Paper: https://arxiv.org/abs/2605.21858
- Code: https://github.com/Mengqi-Lei/Hypergraph-as-Language
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