Datasets:

SauravMaheshkar
/

NDC-substances-25

hyperedge int64 1 112k	nodes stringlengths 3 150	timestamp float64 0 3,611B
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Source Paper: https://arxiv.org/abs/1802.06916

Usage

from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset

dataset = CornellTemporalHyperGraphDataset(root = "./", name="NDC-substances-25", split="train")

Citation

@article{Benson-2018-simplicial,
 author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon},
 title = {Simplicial closure and higher-order link prediction},
 year = {2018},
 doi = {10.1073/pnas.1800683115},
 publisher = {National Academy of Sciences},
 issn = {0027-8424},
 journal = {Proceedings of the National Academy of Sciences}
}

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Collection of HyperGraph Datasets • 17 items • Updated Apr 4 • 7