Graph_Neural_Network_Learning
所属分类：人工智能/神经网络/深度学习
开发工具：Jupyter Notebook
文件大小：379201KB
下载次数：1
上传日期：2022-12-22 08:43:21
上 传 者：
sh-1993
说明： no intro
(Graph_ Neural_ Network_ )
文件列表:
.DS_Store (6148, 2020-07-08)
Notes (0, 2020-07-08)
Notes\.DS_Store (6148, 2020-07-08)
Notes\GCN 基础模型.pdf (6854716, 2020-07-08)
Notes\GCN优化模型.pdf (5913281, 2020-07-08)
Notes\GNN 理论分析.pdf (2374855, 2020-07-08)
Notes\GNN 谱图分析.pdf (1207673, 2020-07-08)
Notes\GNN 预训练.pdf (749704, 2020-07-08)
Notes\GNN 鲁棒性分析.pdf (4163329, 2020-07-08)
Notes\GNN.png (334023, 2020-07-08)
Notes\GraphSAGE.pdf (12463467, 2020-07-08)
Notes\双曲神经网络.pdf (3300219, 2020-07-08)
Notes\双曲空间基础.pdf (4318441, 2020-07-08)
Notes\双曲空间嵌入.pdf (3560745, 2020-07-08)
Pytorch_learning (0, 2020-07-08)
Pytorch_learning\The Python Magic Behind PyTorch.ipynb (20918, 2020-07-08)
Reference (0, 2020-07-08)
Reference\.DS_Store (6148, 2020-07-08)
Reference\PPT (0, 2020-07-08)
Reference\PPT\.DS_Store (6148, 2020-07-08)
Reference\PPT\2019-GNN-a-review-唐杰.pptx (27414172, 2020-07-08)
Reference\PPT\2019-JIST-Cognitive-Graph.pdf (15666412, 2020-07-08)
Reference\PPT\A Tutorial on Graph Neural Networks for Natural Language Processing.pdf (15088250, 2020-07-08)
Reference\PPT\A brief introduction to graph convolution.pptx (14947670, 2020-07-08)
Reference\PPT\AAAI_tutorial_GNN.pptx (66370852, 2020-07-08)
Reference\PPT\Advancements in Graph Neural Networks.pdf (39412166, 2020-07-08)
Reference\PPT\Applications_of_GNN.pdf (39287893, 2020-07-08)
Reference\PPT\Deep Generative Models for Graphs- Methods & Applications .pdf (18936997, 2020-07-08)
Reference\PPT\GNN.pdf (26086400, 2020-07-08)
Reference\PPT\How Powerful are Graph Neural Netwo-ppt.pdf (12525219, 2020-07-08)
Reference\PPT\Meta Paths and Meta Structures- Analysing Large Heterogeneous Information Networks.pdf (3637712, 2020-07-08)
Reference\PPT\Neural Graph Embedding Methods for Natural Language Processing.pdf (8826696, 2020-07-08)
Reference\PPT\Structured deep models- Deep learning on graphs and beyond.pdf (14389102, 2020-07-08)
Reference\PPT\The Laplacian Matrix of a Graph.pdf (160597, 2020-07-08)
Reference\PPT\graph neural network review.pdf (9315202, 2020-07-08)
Reference\PPT\lecture14_graph_neural_networks.pdf (84997274, 2020-07-08)
Reference\PPT\limitations_of_GNN.pdf (7758450, 2020-07-08)
Reference\PPT\图卷积神经网络的变种与挑战.pptx (1359750, 2020-07-08)
... ...
# Graph Neural Network Learning
Tip: 图上标记完成的相关笔记链接附在下面
---------------
### 1. 基础模型
1. GCN 模型
* [GCN 基础模型](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Notes/GCN%20%E5%9F%BA%E7%A1%80%E6%A8%A1%E5%9E%8B.pdf)
* [GCN 优化模型](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Notes/GCN%E4%BC%***%E5%8C%96%E6%A8%A1%E5%9E%8B.pdf)
* [GraphSAGE](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Notes/GraphSAGE.pdf)
### 2. 谱图分析(Spectral Graph Analysis)
* [GNN 谱图分析](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Notes/GNN%20%E8%B0%B1%E5%9B%BE%E5%88%86%E6%9E%90.pdf)
### 3. 理论分析
> 基于 WL-Test 的表征能力上限分析; GNN 可解释性分析
* [GNN 理论分析](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Notes/GNN%20%E7%90%86%E8%AE%BA%E5%88%86%E6%9E%90.pdf)
### 4. GNN 模型鲁棒性
> 对抗攻击
* [GNN 鲁棒性分析](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Notes/GNN%20%E9%B2%81%E6%A3%92%E6%80%A7%E5%88%86%E6%9E%90.pdf)
### 5. GNN 模型预训练框架
* [GNN 模型预训练](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Notes/GNN%20%E9%A2%84%E8%AE%AD%E7%BB%83.pdf)
### 6. 双曲空间中 GNN
* [双曲空间基础知识](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Notes/%E5%8F%8C%E6%9B%B2%E7%A9%BA%E9%97%B4%E5%9F%BA%E7%A1%80.pdf)
* [双曲空间嵌入](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Notes/%E5%8F%8C%E6%9B%B2%E7%A9%BA%E9%97%B4%E5%B5%8C%E5%85%A5.pdf)
* [双曲神经网络](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Notes/%E5%8F%8C%E6%9B%B2%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.pdf)
------------
## 参考资料
> 所有参考资料放在一起, 其中参考 PPT [汇总链接](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/tree/master/Reference/PPT)
* [参考资料](https://github.com/LiuChuang0059/Graph_Neural_Network_Learning/blob/master/Reference/%E5%8F%82%E8%80%83%E8%B5%84%E6%96%99.pdf)
近期下载者：
相关文件：
收藏者：