Ogb.stanford.edu
Open Graph Benchmark | A collection of benchmark datasets, data-loaders and evaluators for graph machine learning in PyTorch.
Find benchmark datasets, data loaders, and evaluators for graph machine learning research, all designed to work with PyTorch models and tools.
Access top graph ML datasets and benchmarks
Open Graph Benchmark is your go-to resource for high-quality benchmark datasets, data loaders, and evaluation tools tailored for graph machine learning. Whether you're a researcher, student, or developer working with graph neural networks, this site provides everything you need to test and compare your models in PyTorch.
You can easily explore a wide range of datasets covering various graph-based prediction tasks, from node and link property prediction to large-scale challenges. The site also features leaderboards, community updates, and detailed documentation to help you get started quickly and track the latest advances in the field.
If you're interested in advancing the state of graph machine learning, Open Graph Benchmark offers a collaborative platform to share results, participate in challenges, and leverage standardized tools for rigorous model evaluation.
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