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Stochastic Training of GNNs
===========================



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    <div class="sphx-glr-thumbnails">

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    <div class="sphx-glr-thumbcontainer" tooltip="In previous tutorials &lt;../blitz/1_introduction&gt; you have learned how to train GNNs by computing the representations of all nodes on a graph. However, sometimes your graph is too large to fit the computation of all nodes in a single GPU.">

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  .. image:: /tutorials/large/images/thumb/sphx_glr_L0_neighbor_sampling_overview_thumb.png
    :alt:

  :ref:`sphx_glr_tutorials_large_L0_neighbor_sampling_overview.py`

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      <div class="sphx-glr-thumbnail-title">Introduction of Neighbor Sampling for GNN Training</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This tutorial shows how to train a multi-layer GraphSAGE for node classification on ogbn-arxiv provided by Open Graph Benchmark (OGB). The dataset contains around 170 thousand nodes and 1 million edges.">

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  .. image:: /tutorials/large/images/thumb/sphx_glr_L1_large_node_classification_thumb.png
    :alt:

  :ref:`sphx_glr_tutorials_large_L1_large_node_classification.py`

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      <div class="sphx-glr-thumbnail-title">Training GNN with Neighbor Sampling for Node Classification</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="This tutorial will show how to train a multi-layer GraphSAGE for link prediction on ogbn-arxiv provided by Open Graph Benchmark (OGB). The dataset contains around 170 thousand nodes and 1 million edges.">

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  .. image:: /tutorials/large/images/thumb/sphx_glr_L2_large_link_prediction_thumb.png
    :alt:

  :ref:`sphx_glr_tutorials_large_L2_large_link_prediction.py`

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      <div class="sphx-glr-thumbnail-title">Stochastic Training of GNN for Link Prediction</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="All GNN modules DGL provides support stochastic GNN training. This tutorial teaches you how to write your own graph neural network module for stochastic GNN training. It assumes that">

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  .. image:: /tutorials/large/images/thumb/sphx_glr_L4_message_passing_thumb.png
    :alt:

  :ref:`sphx_glr_tutorials_large_L4_message_passing.py`

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      <div class="sphx-glr-thumbnail-title">Writing GNN Modules for Stochastic GNN Training</div>
    </div>


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    </div>


.. toctree::
   :hidden:

   /tutorials/large/L0_neighbor_sampling_overview
   /tutorials/large/L1_large_node_classification
   /tutorials/large/L2_large_link_prediction
   /tutorials/large/L4_message_passing



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 .. rst-class:: sphx-glr-signature

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