Create README.md

README.md

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+---
+license: cc-by-4.0
+tags:
+- biology
+- genomics
+- proteomics
+- graph-neural-networks
+- benchmarking
+- omics
+pretty_name: OgBench — Omics Graph Benchmark
+task_categories:
+- tabular-classification
+size_categories:
+- n<1K
+---
+
+# 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 (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) |
+
+## 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.