Dataset · Hugging Face

ogutsevda/graph-nucls

Name: graph-nucls
Creator: ogutsevda
License: cc-by-nc-sa-4.0
Keywords: task_categories:graph-ml, license:cc-by-nc-sa-4.0, size_categories:n<1K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, arxiv:2603.00143, region:us, histopathology, node-classification, breast-cancer, pytorch-geometric

Graph-NuCLS: A Cell-Graph Dataset for Nucleus Classification from NuCLS Graph-NuCLS is a node-level classification dataset derived from the NuCLS dataset with "main" labels. Each tissue patch is converted into a cell-graph where nodes represent detected cell nuclei and edges encode spatial proximity. The task is predicting the cell type of each nucleus across 7 classes. Note that node features describe cell morphology, texture, and color intensity whereas edge features are… See the full description on the dataset page: https://huggingface.co/datasets/ogutsevda/graph-nucls.

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Author / organization	ogutsevda
License (as declared)	cc-by-nc-sa-4.0
Downloads	1.7K (as reported by Hugging Face)
Likes	9
Created	12 February 2026
Last updated at source	3 March 2026

histopathologynode-classificationbreast-cancerpytorch-geometric

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