PCNOTme

Joined on Nov 25, 2022
Organization
- NLP_SIG
- 1
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e043f31419 Merge pull request 'part3部分' (#9) from ZhangbuDong/team-learning-nlp-DL:master into master Reviewed-on: https://openi.pcl.ac.cn/NLP_SIG/team_learning_NLP_DL/pulls/9
5c30b2261b 更新 'task01.md'
9221ff93ca 知识图谱组队学习之 Task 1 知识图谱介绍
95f4d2dffd part3部分
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2f500c8a89 Merge pull request 'bagging的方法' (#8) from ZhangbuDong/team-learning-nlp-ML:master into master Reviewed-on: https://openi.pcl.ac.cn/NLP_SIG/team_learning_NLP_ML/pulls/8
094c9f4445 bagging的方法
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f26076c884 上传文件至 '' 1. 首先学习**程序运行环境的配置**。 2. 接着学习**PyG中图数据的表示及其使用**，即学习PyG中`Data`类。 3. 最后学习**PyG中图数据集的表示及其使用**，即学习PyG中`Dataset`类。

f959daff73 上传文件至 '' - 首先我们将学习**图神经网络生成节点表征的范式–消息传递（Message Passing）范式**。 - 接着我们将初步分析PyG中的[`MessagePassing`](https://pytorch-geometric.readthedocs.io/en/latest/modules/nn.html#torch_geometric.nn.conv.message_passing.MessagePassing)基类，通过继承此基类我们可以方便地构造一个图神经网络。 - 然后我们以继承`MessagePassing`基类的`GCNConv`类为例，学习如何通过继承`MessagePassing`基类来构造图神经网络。 - 再接着我们将对`MessagePassing`基类进行剖析。 - 最后我们将学习在继承[`MessagePassing`](https://pytorch-geometric.readthedocs.io/en/latest/modules/nn.html#torch_geometric.nn.conv.message_passing.MessagePassing)基类的子类中覆写`message(),aggreate(),message_and_aggreate()`和`update()`，这些方法的规范。

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