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1. ogb.stanford.eduOpen Graph Benchmark | A collection of benchmark datasets,...

   ogb.stanford.edu

   • En caché

   OGB is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. It provides data loaders, evaluators, and leaderboards for graph tasks in PyTorch.

2. pypi.org › project › ogbogb · PyPI

   pypi.org › project › ogb

   • En caché

   6 de abr. de 2023 · ogb is a collection of benchmark datasets, data loaders, and evaluators for graph machine learning tasks. It supports popular graph deep learning frameworks, such as PyTorch Geometric and DGL, and provides standardized performance evaluation.

3. ogb.stanford.edu › docsGet Started | Open Graph Benchmark

   ogb.stanford.edu › docs

   • En caché

   OGB provides graph datasets, data loaders, and evaluators for graph machine learning in PyTorch. Learn how to install, use, and cite OGB for your research.

4. github.com › snap-stanford › ogbGitHub - snap-stanford/ogb: Benchmark datasets, data loaders, and...

   github.com › snap-stanford › ogb

   • En caché

   OGB is a collection of datasets, data loaders, and evaluators for graph machine learning tasks such as node, link, and graph prediction. It supports PyTorch Geometric and DGL frameworks and provides standardized performance evaluation.

5. ogb.stanford.edu › docs › nodepropNode Property Prediction | Open Graph Benchmark

   ogb.stanford.edu › docs › nodeprop

   • En caché

   Open Graph Benchmark (OGB) provides large-scale graph datasets and evaluation frameworks for node property prediction tasks. Learn about the datasets, tasks, metrics, and leaderboards for different domains such as products, proteins, arxiv, papers, and more.

6. paperswithcode.com › dataset › ogbOGB Dataset | Papers With Code

   paperswithcode.com › dataset › ogb

   • En caché

   OGB is a collection of realistic, large-scale, and diverse datasets for graph-based machine learning tasks. It provides data loaders, evaluators, and papers for 16 benchmarks, such as node property prediction, link prediction, and graph classification.

7. arxiv.org › abs › 2005Open Graph Benchmark: Datasets for Machine Learning on Graphs

   arxiv.org › abs › 2005

   • En caché

   2 de may. de 2020 · OGB is a collection of diverse and challenging benchmark datasets for graph machine learning research. It provides unified evaluation protocols, data splits, metrics, and a standardized graph ML pipeline for each dataset.