Graph Machine Learning
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---
license: unknown
datasets:
- SauravMaheshkar/NDC-classes
metrics:
- accuracy
- precision
- f1
pipeline_tag: graph-ml
---

## Model Details

### Model Sources

- **Repository:** [ubc-systopia/CATWalk](https://github.com/ubc-systopia/CATWalk)
- **Paper:** https://huggingface.co/papers/2306.11147

### Direct Use
This model should only be used for testing using the ["full neighbour finder" for details refer here](https://github.com/ubc-systopia/CATWalk/blob/78e2180d94b9485b7fd1c194fba65ad466b006e3/main.py#L154C94-L154C114)

## Training Details

### Training Data

- **Dataset:** [SauravMaheshkar/NDC-classes](https://huggingface.co/datasets/SauravMaheshkar/NDC-classes)  
- **Dataset Source:** [Simplicial Closure and higher-order link prediction](https://huggingface.co/papers/1802.06916)

## Citation

**BibTeX:**

```lang-misc
@misc{behrouz2023catwalk,
      title={CAT-Walk: Inductive Hypergraph Learning via Set Walks}, 
      author={Ali Behrouz and Farnoosh Hashemi and Sadaf Sadeghian and Margo Seltzer},
      year={2023},
      eprint={2306.11147},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}
```

## Model Card Authors

* [@SauravMaheshkar](https://huggingface.co/SauravMaheshkar)

## Model Card Contact

* [@SauravMaheshkar](https://huggingface.co/SauravMaheshkar)