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geometric-intelligence/ogbench

OgBench: Benchmarking Graph Neural Networks on Omics Data OgBench is the first benchmark suite for graph-level prediction in the n ≪ p regime characteristic of omics data, where the number of patient samples n is much smaller than the number of nodes (genes or proteins) p per graph. Datasets This repository contains four preprocessed omics graph classification datasets: Dataset Modality n p Task HERITAGE Proteomics 654 4,977 Exercise responder… See the full description on the dataset page: https://huggingface.co/datasets/geometric-intelligence/ogbench.

sourceHugging Facecc-by-4.0updated 12d agoView on Hugging Face

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rootbrca_metadata.json

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1{2  "dataset_name": "brca",3  "download_urls": {4    "BRCA_Methy": "https://huggingface.co/datasets/AIBIC/MLOmics/resolve/main/Main_Dataset/Classification_datasets/GS-BRCA/Original/BRCA_Methy.csv",5    "BRCA_label_num": "https://huggingface.co/datasets/AIBIC/MLOmics/resolve/main/Main_Dataset/Classification_datasets/GS-BRCA/Original/BRCA_label_num.csv"6  },7  "download_timestamp": "2026-04-03T04:25:06.619546",8  "statistics": {9    "num_samples": 640,10    "num_features": 19049,11    "target_stats": {12      "class_mapping": {13        "LumA": 0,14        "Her2": 1,15        "LumB": 2,16        "Basal": 317      },18      "num_classes": 4,19      "class_names": [20        "LumA",21        "Her2",22        "LumB",23        "Basal"24      ]25    }26  }27}