Paddle飞桨图神经训练营笔记

图神经网络

链接：图神经网络7日打卡营

课程基础

数学基础：

• 高等数学
• 线性代数
• 概率与数理统计

编程基础

• Python : numpy
• PaddlePaddle1.8
• PGL

机器学习基础

• 神经网络（FC， BPNN)

资料

• 综述

1. Graph Neural Networks: A Review of Methods and Applications
2. A Comprehensive Survey on Graph Neural Networks

• 进阶

1. DeepWalk. DeepWalk: Online Learning of Social Representations
2. GCN Semi-supervised Classification with Graph Convolutional Networks
3. GAT Graph Attention Networks
4. GraphSAGE Inductive Representation Learning on Large Graphs
5. https://github.com/thunlp/GNNPapers

• 前沿
  针对 GNN 而言：图采样技术、邻居聚合、深度图卷积、图预训练

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