dmlc--dgl/docs/source/guide_cn/index.rst

用户指南【包含过时信息】
===================

.. toctree::
  :maxdepth: 2
  :titlesonly:

  graph
  message
  nn
  data
  training
  minibatch
  distributed

2020年9月，DGL社区的一群热心贡献者把DGL用户指南译成了中文，方便广大中文用户群学习和使用DGL。

特此致谢下述贡献者：

.. list-table::
   :widths: 20 20 20
   :header-rows: 1

   * - 章节
     - 个人姓名/昵称
     - 个人链接
   * - :ref:`guide_cn-graph`
     - 张怀文/Huaiwen Zhang
     - https://github.com/huaiwen
   * - :ref:`guide_cn-graph-basic`
     - 沈成 / mlsoar
     - https://github.com/mlsoar
   * - :ref:`guide_cn-graph-graphs-nodes-edges`
     - 张建 / zhjwy9343
     - https://github.com/zhjwy9343
   * - :ref:`guide_cn-graph-feature`
     - 沈成 / mlsoar
     - https://github.com/mlsoar
   * - :ref:`guide_cn-graph-external`
     - 沈成 / mlsoar
     - https://github.com/mlsoar
   * - :ref:`guide_cn-graph-heterogeneous`
     - 张怀文/Huaiwen Zhang
     - https://github.com/huaiwen
   * - :ref:`guide_cn-message-passing`,
     - 黄崟/Brook Huang
     - https://github.com/brookhuang16211
   * - :ref:`guide_cn-message-passing-api`
     - 黄崟/Brook Huang
     - https://github.com/brookhuang16211
   * - :ref:`guide_cn-message-passing-efficient`
     - 黄崟/Brook Huang
     - https://github.com/brookhuang16211
   * - :ref:`guide_cn-message-passing-part`
     - 陈知雨/Zhiyu Chen
     - https://www.zhiyuchen.com
   * - :ref:`guide_cn-message-passing-edge`
     - 陈知雨/Zhiyu Chen
     - https://www.zhiyuchen.com
   * - :ref:`guide_cn-message-passing-heterograph`
     - 陈知雨/Zhiyu Chen
     - https://www.zhiyuchen.com
   * - :ref:`guide_cn-nn`
     - 陈知雨/Zhiyu Chen
     - https://www.zhiyuchen.com
   * - :ref:`guide_cn-nn-construction`
     - 陈知雨/Zhiyu Chen
     - https://www.zhiyuchen.com
   * - :ref:`guide_cn-nn-forward`
     - 栩栩的夏天
     -
   * - :ref:`guide_cn-nn-heterograph`
     - 栩栩的夏天
     -
   * - :ref:`guide_cn-data-pipeline`
     - 吴紫薇/ Maggie Wu
     - https://github.com/hhhiddleston
   * - :ref:`guide_cn-data-pipeline-dataset`
     - 吴紫薇/ Maggie Wu
     - https://github.com/hhhiddleston
   * - :ref:`guide_cn-data-pipeline-download`
     - 吴紫薇/ Maggie Wu
     - https://github.com/hhhiddleston
   * - :ref:`guide_cn-data-pipeline-process`
     - 吴紫薇/ Maggie Wu
     - https://github.com/hhhiddleston
   * - :ref:`guide_cn-data-pipeline-savenload`
     - 王建民/DrugAI
     - https://github.com/AspirinCode
   * - :ref:`guide_cn-data-pipeline-loadogb`
     - 王建民/DrugAI
     - https://github.com/AspirinCode
   * - :ref:`guide_cn-training`
     - 王建民/DrugAI
     - https://github.com/AspirinCode
   * - :ref:`guide_cn-training-node-classification`,
     - 王建民/DrugAI
     - https://github.com/AspirinCode
   * - :ref:`guide_cn-training-edge-classification`
     - 徐东辉/DonghuiXu
     - https://github.com/rewonderful
   * - :ref:`guide_cn-training-link-prediction`
     - 徐东辉/DonghuiXu
     - https://github.com/rewonderful
   * - :ref:`guide_cn-training-graph-classification`
     - 莫佳帅子/Molasses
     - https://github.com/sleeplessai
   * - :ref:`guide_cn-minibatch`
     - 莫佳帅子/Molasses
     - https://github.com/sleeplessai
   * - :ref:`guide_cn-minibatch-node-classification-sampler`
     - 孟凡荣/kevin-meng
     - https://github.com/kevin-meng
   * - :ref:`guide_cn-minibatch-edge-classification-sampler`
     - 莫佳帅子/Molasses
     - https://github.com/sleeplessai
   * - :ref:`guide_cn-minibatch-link-classification-sampler`
     - 孟凡荣/kevin-meng
     - https://github.com/kevin-meng
   * - :ref:`guide_cn-minibatch-customizing-neighborhood-sampler`
     - 孟凡荣/kevin-meng
     - https://github.com/kevin-meng
   * - :ref:`guide_cn-minibatch-custom-gnn-module`
     - 胡骏
     - https://github.com/CrawlScript
   * - :ref:`guide_cn-minibatch-inference`
     - 胡骏
     - https://github.com/CrawlScript
   * - :ref:`guide_cn-distributed`
     - 宋怡然/Yiran Song
     - https://github.com/rr-Yiran
   * - :ref:`guide_cn-distributed-preprocessing`
     - 宋怡然/Yiran Song
     - https://github.com/rr-Yiran
   * - :ref:`guide_cn-distributed-apis`
     - 李庆标/Qingbiao Li
     - https://qingbiaoli.github.io/
   * - :ref:`guide_cn-distributed-tools`
     - 李庆标/Qingbiao Li
     - https://qingbiaoli.github.io/