OGB Dataset Overview

The Open Graph Benchmark (OGB) aims to provide graph datasets that cover important graph machine learning tasks, diverse dataset scale, and rich domains.

Multiple task categories: We cover three fundamental graph machine learning task categories: predicting the properties of nodes, links, and graphs.

Diverse scale: Small-scale graph datasets can be processed within a single GPU, while medium- and large-scale graphs might require multiple GPUs and/or sophisticated mini-batching techniques.

Rich domains: Graph datasets come from diverse domains and include biological networks, molecular graphs, academic networks, and knowledge graphs.

Contributing datasets

OGB is an on-going community-driven effort and welcomes contribution of datasets from the community.
If you are interested, please follow the instructions here.