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@@ -151,7 +151,7 @@ The table below lists the recommendation models/algorithms featured in Cornac. E
 | Year | Model and Paper | Type | Environment | Example |
 | :--: | --------------- | :--: | :---------: | :-----: |
 | 2024 | [Comparative Aspects and Opinions Ranking for Recommendation Explanations (Companion)](cornac/models/companion), [docs](https://cornac.readthedocs.io/en/stable/api_ref/models.html#module-cornac.models.companion.recom_companion), [paper](https://lthoang.com/assets/publications/mlj24.pdf) | Hybrid / Sentiment / Explainable | CPU | [quick-start](examples/companion_example.py)
-|      | [Hypergraphs with Attention on Reviews (HypAR)](cornac/models/hypar), [docs](https://cornac.readthedocs.io/en/stable/api_ref/models.html#module-cornac.models.hypar.recom_hypar), [paper](https://doi.org/10.1007/978-3-031-56027-9_14)| Hybrid / Sentiment / Explainable | [requirements](cornac/models/hypar/requirements_cu116.txt), CPU / GPU | [quick-start](https://github.com/PreferredAI/HypAR)
+|      | [Hypergraphs with Attention on Reviews (HypAR)](cornac/models/hypar), [docs](https://cornac.readthedocs.io/en/stable/api_ref/models.html#module-cornac.models.hypar.recom_hypar), [paper](https://doi.org/10.1007/978-3-031-56027-9_14)| Hybrid / Sentiment / Explainable | [requirements](cornac/models/hypar/requirements_cu118.txt), CPU / GPU | [quick-start](https://github.com/PreferredAI/HypAR)
 | 2023 | [Recommender Systems with Generative Retrieval (TIGER)](cornac/models/tiger), [docs](https://cornac.readthedocs.io/en/stable/api_ref/models.html#module-cornac.models.tiger.recom_tiger), [paper](https://arxiv.org/pdf/2305.05065.pdf) | Next-Item / Content-Based | [requirements](cornac/models/tiger/requirements.txt), CPU / GPU | [quick-start](examples/tiger_example.py)
 |      | [Scalable Approximate NonSymmetric Autoencoder (SANSA)](cornac/models/sansa), [docs](https://cornac.readthedocs.io/en/stable/api_ref/models.html#module-cornac.models.sansa.recom_sansa), [paper](https://dl.acm.org/doi/10.1145/3604915.3608827) | Collaborative Filtering | [requirements](cornac/models/sansa/requirements.txt), CPU | [quick-start](examples/sansa_movielens.py), [150k-items](examples/sansa_tradesy.py)
 | 2022 | [Disentangled Multimodal Representation Learning for Recommendation (DMRL)](cornac/models/dmrl), [docs](https://cornac.readthedocs.io/en/stable/api_ref/models.html#module-cornac.models.dmrl.recom_dmrl), [paper](https://arxiv.org/pdf/2203.05406.pdf) | Content-Based / Text & Image | [requirements](cornac/models/dmrl/requirements.txt), CPU / GPU | [quick-start](examples/dmrl_example.py)