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        <h1>Open Graph Benchmark</h1>
        <p><strong>Benchmark datasets, data loaders and evaluators for graph machine learning<strong></p>
        <p><a class="btn btn-primary btn-lg" href="{{ "/docs/home/" | relative_url }}" role="button">Get Started</a> <a class="btn btn-warning btn-lg" href="{{ "/docs/lsc/" | relative_url }}" role="button">OGB-LSC</a> </p>  
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                The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. 
                OGB datasets are automatically downloaded, processed, and split using the <a href="{{ "/docs/home/#dataloader" | relative_url }}">OGB Data Loader</a>. The model performance can be evaluated using the <a href="{{ "/docs/home/#evaluator" | relative_url }}">OGB Evaluator</a> in a unified manner. <br/>
                OGB is a community-driven initiative in active development. We expect the benchmark datasets to evolve. To keep up to date to major updates, <b>subscribe to our google group <a href="https://groups.google.com/forum/#!forum/open-graph-benchmark">here</a></b>. 
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            <h3 class="text-center"><a href="{{ "/docs/dataset_overview/" | relative_url }}">Realistic datasets</a></h3>
            <p class="f3-light">OGB provides a diverse set of challenging and realistic <a href="{{ "/docs/dataset_overview/" | relative_url }}">benchmark datasets</a> that are of varying sizes and cover a variety graph machine learning tasks, including prediction of <a href="{{ "/docs/nodeprop/" | relative_url }}">node, </a><a href="{{ "/docs/linkprop/" | relative_url }}"> link, </a> and <a href="{{ "/docs/graphprop/" | relative_url }}">graph</a> properties.
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            <h3 class="text-center"><a href="{{ "/docs/home/#dataloader" | relative_url }}">Flexible data loaders</a></h3>
            <p class="f3-light">OGB fully automates dataset processing.
                The OGB data loaders automatically download and process graphs, provide graph objects that are fully compatible with <a href="https://pytorch-geometric.readthedocs.io/">Pytorch Geometric</a> and <a href="https://www.dgl.ai/">DGL</a>.
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            <h3 class="text-center"><a href="{{ "/docs/home/#evaluator" | relative_url }}">Unified evaluation</a></h3>
            <p class="f3-light">OGB provides standardized dataset splits and evaluators that allow for easy and reliable comparison of different models in a unified manner. OGB uses <a href="{{ "/docs/leader_overview/" | relative_url }}">leaderboards</a> to keep track of the state-of-the-art.
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    <p style="color:#FFFFFF">a</p>
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