Datasets:
Tasks:
Graph Machine Learning
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
ArXiv:
Tags:
hypergraph
Update README.md
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README.md
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@@ -56,7 +56,7 @@ In addition to the raw hypergraph topology, vector features are provided for bot
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- [Node2Vec](https://arxiv.org/abs/1607.00653) embeddings: random-walk–based structural embeddings.
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- [VilLain](https://dl.acm.org/doi/10.1145/3589334.3645454) embeddings: self-supervised hypergraph representation learning via virtual label propagation.
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Basic statistics (as packaged here):
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## Citation
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- [Node2Vec](https://arxiv.org/abs/1607.00653) embeddings: random-walk–based structural embeddings.
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- [VilLain](https://dl.acm.org/doi/10.1145/3589334.3645454) embeddings: self-supervised hypergraph representation learning via virtual label propagation.
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Basic statistics (as packaged here): 1161 nodes, 1088 hyperedges, 183 connected component, largest connected component ratio is 0.540913006029285.
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## Citation
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