Datasets:
Tasks:
Graph Machine Learning
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
ArXiv:
Tags:
hypergraph
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# NDC-classes
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NDC-classes is an undirected hypergraph built from the U.S. FDA’s National Drug Code (NDC) Directory, designed for higher-order network / hypergraph machine learning in the drug domain. Each hyperedge corresponds to a drug and connects the set of pharmacologic/therapeutic class labels assigned to that drug, while nodes represent the class labels themselves (e.g., “serotonin reuptake inhibitor”), capturing co-classification patterns as higher-order interactions rather than pairwise links.
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# NDC-classes
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[Zenodo](https://zenodo.org/records/10155772) | [Cornell](https://www.cs.cornell.edu/~arb/data/NDC-classes/)
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NDC-classes is an undirected hypergraph built from the U.S. FDA’s National Drug Code (NDC) Directory, designed for higher-order network / hypergraph machine learning in the drug domain. Each hyperedge corresponds to a drug and connects the set of pharmacologic/therapeutic class labels assigned to that drug, while nodes represent the class labels themselves (e.g., “serotonin reuptake inhibitor”), capturing co-classification patterns as higher-order interactions rather than pairwise links.
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<div align="center">
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