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metadata
license: cc-by-4.0
size_categories:
  - n<1K
task_categories:
  - graph-ml
pretty_name: OgBench  Omics Graph Benchmark
tags:
  - biology
  - genomics
  - proteomics
  - graph-neural-networks
  - benchmarking
  - omics

OgBench: Benchmarking Graph Neural Networks on Omics Data

Paper | GitHub

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 (binary)
Parkinson's Transcriptomics 535 21,755 Cognitive status (binary)
AddNeuroMed Transcriptomics 711 17,198 Clinical diagnosis (3-class)
BRCA Epigenomics 640 19,049 Cancer subtype (4-class)

Usage

After installing the OgBench framework, you can download and process the datasets using the provided script:

# Download a specific dataset (e.g., motrpac/HERITAGE)
python scripts/download_datasets.py motrpac

# Download all datasets
python scripts/download_datasets.py all

To train a model (e.g., GATv2) on one of the datasets:

python ogbench/run.py dataset=motrpac model=gatv2

Source Data

  • HERITAGE: Robbins et al. (2021), Nature Metabolism. Available via MoTrPAC Data Hub (motrpac-data.org) under CC-BY 4.0.
  • Parkinson's: Shamir et al. (2017), Neurology. Available via NCBI GEO (GSE99039) under GEO public data access policy.
  • AddNeuroMed: Lovestone et al. (2009). Available via NCBI GEO (GSE63063) under GEO public data access policy.
  • BRCA: Yang et al. (2025), MLOmics, Scientific Data. Available on Figshare/Hugging Face under CC-BY 4.0.

Preprocessing

All datasets are preprocessed with a consistent pipeline including probe-to-gene aggregation, normalization, and covariate adjustment. Full preprocessing details are provided in Appendix B of the accompanying paper. Graphs are split 70/15/15 (train/val/test) with a fixed random seed.