Shypd.aiThe largest open index of AI toolsOGB (Open Graph Benchmark) is a collection of benchmark datasets, data loaders, and evaluators for graph machine learning. It provides standardized tools for various graph ML tasks and real-world applications, compatible with popular graph deep learning frameworks.
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OGB (Open Graph Benchmark) offers a comprehensive suite of benchmark datasets, data loaders, and evaluators specifically designed for graph machine learning. It supports a wide array of graph ML tasks, including predictions at the node, link, and graph levels, and covers diverse real-world applications. The platform provides datasets of varying scales, from those processable on a single GPU to large-scale graphs requiring advanced techniques. OGB's data loaders are fully compatible with leading graph deep learning frameworks like PyTorch Geometric and Deep Graph Library (DGL), offering automatic dataset downloading, standardized splits, and unified performance evaluation. This ensures reliable comparison of different methods and facilitates research in graph machine learning.
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