Datasets › OGB
OGB (Open Graph Benchmark)
The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. OGB datasets are automatically downloaded, processed, and split using the OGB Data Loader. The model performance can be evaluated using the OGB Evaluator in a unified manner. OGB is a community-driven initiative in active development.
Source: https://ogb.stanford.edu/ Image Source: https://ogb.stanford.edu/
Benchmarks archive 2025-07-28
All 17 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
Papers archive 2025-07-28
30 shown of 141 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1,000. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
The full list of 141 is in the JSON twin.
Dataset loaders archive 2025-07-28
2 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- ogbl-wikikg2
- ogbl-ppa
- ogbl-ddi
- ogbl-collab
- ogbl-citation2
- ogbl-biokg
- ogbg-ppa
- ogbg-molpcba
- ogbg-code2
- ogbn-mag
- ogbn-papers100M
- ogbg-molhiv
- ogbn-proteins
- ogbn-products
- ogbn-arxiv
- OGB
16 variant names, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections