--- 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