dmlc--dgl
zhjwy9343
90d86fcbe3
* [Feature] Add full graph training with dgl built-in dataset. * [Feature] Add full graph training with dgl built-in dataset. * [Feature] Add full graph training with dgl built-in dataset. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Bug] fix model to cuda. * [Feature] Add test loss and accuracy * [Feature] Add test loss and accuracy * [Feature] Add test loss and accuracy * [Feature] Add test loss and accuracy * [Feature] Add test loss and accuracy * [Feature] Add test loss and accuracy * [Fix] Add random * [Bug] Fix batch norm error * [Doc] Test with CN in Sphinx * [Doc] Test with CN in Sphinx * [Doc] Remove the test CN docs. * [Feature] Add input embedding layer * [Feature] Add input embedding layer * [Feature] Add input embedding layer * [Feature] Add input embedding layer * [Feature] Add input embedding layer * [Feature] Add input embedding layer * [Feature] Add input embedding layer * [Feature] Add input embedding layer * [Feature] Add input embedding layer * [Doc] fill readme with new performance results * [Doc] Add Chinese User Guide, graph and 1.5 * [Doc] Add Chinese User Guide, graph and 1.5 * [Doc] Refactor and split chapter 4 * [Fix] Remove CompGCN example codes * [Doc] Add chapter 2 refactor and split * [Fix] code format of savenload * [Doc] Split chapter 3 * [Doc] Add introduction phrase of chapter 2 * [Doc] Add introduction phrase of chapter 2 * [Doc] Add introduction phrase of chapter 3 * Fix * Update chapter 2 * Update chapter 3 * Update chapter 4 Co-authored-by: mufeili <mufeili1996@gmail.com>
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.. _guide-message-passing-part:
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2.3 Apply Message Passing On Part Of The Graph
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----------------------------------------------
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If one only wants to update part of the nodes in the graph, the practice
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is to create a subgraph by providing the IDs for the nodes to
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include in the update, then call :meth:`~dgl.DGLGraph.update_all` on the
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subgraph. For example:
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.. code::
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nid = [0, 2, 3, 6, 7, 9]
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sg = g.subgraph(nid)
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sg.update_all(message_func, reduce_func, apply_node_func)
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This is a common usage in mini-batch training. Check :ref:`guide-minibatch` for more detailed
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usages. |