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spack.io : py-ogb
The Open Graph Benchmark (OGB) is a collection of benchmark datasets, data loaders, and evaluators for graph machine learning. Datasets cover a variety of graph machine learning tasks and real-world applications. The OGB data loaders are fully compatible with popular graph deep learning frameworks, including PyTorch Geometric and Deep Graph Library (DGL). They provide automatic dataset downloading, standardized dataset splits, and unified performance evaluation.
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purl: pkg:spack/py-ogb
Keywords: datasets, deep-learning, graph-machine-learning, graph-neural-networks
License: Other
Latest release: about 1 year ago
First release: about 1 year ago
Stars: 1,636 on GitHub
Forks: 389 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 17 days ago