dmlc--dgl
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* [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-data-pipeline:
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Chapter 4: Graph Data Pipeline
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==============================
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DGL implements many commonly used graph datasets in :ref:`apidata`. They
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follow a standard pipeline defined in class :class:`dgl.data.DGLDataset`. DGL highly
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recommends processing graph data into a :class:`dgl.data.DGLDataset` subclass, as the
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pipeline provides simple and clean solution for loading, processing and
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saving graph data.
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Roadmap
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-------
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This chapter introduces how to create a custom DGL-Dataset.
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The following sections explain how the pipeline works, and
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shows how to implement each component of it.
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* :ref:`guide-data-pipeline-dataset`
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* :ref:`guide-data-pipeline-download`
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* :ref:`guide-data-pipeline-process`
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* :ref:`guide-data-pipeline-savenload`
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* :ref:`guide-data-pipeline-loadogb`
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.. toctree::
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:maxdepth: 1
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:hidden:
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:glob:
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data-dataset
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data-download
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data-process
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data-savenload
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data-loadogb |