FreeCourseWeb com Udemy Graph Neural Network | 40351932CDC12A9FF55E0BAC8AF51492169D8552

FreeCourseWeb com Udemy Graph Neural Network

Name	[ FreeCourseWeb.com ] Udemy - Graph Neural Network	DOWNLOAD Copy Link
Total Size	2.1 GB
Total Files	71
Last Seen	2024-07-08 23:51
Hash	40351932CDC12A9FF55E0BAC8AF51492169D8552

/
Get Bonus Downloads Here.url	0.2 KB
/.../1. Graph Terminology & Representation/
1. Graph Definition.mp4	25.1 MB
1. Graph Definition.srt	6.4 KB
1.1 Why Graph Neural Network is important [ YOUTUBE ].html	0.1 KB
2. Storing Graph Information.mp4	30.6 MB
2. Storing Graph Information.srt	7.3 KB
3. Graph Degree and Laplacian of Graph.mp4	44.9 MB
3. Graph Degree and Laplacian of Graph.srt	8.0 KB
4. Definition of Learning in Graph Representation Learning.mp4	32.4 MB
4. Definition of Learning in Graph Representation Learning.srt	7.6 KB
4.1 A Literature Review on Graph Neural Networks [ YOUTUBE ].html	0.1 KB
5. Drawback in existing graph learning models.mp4	11.4 MB
5. Drawback in existing graph learning models.srt	2.0 KB
6. Workshop - Using Torch and Torch Geometric for defining a graph.mp4	229.4 MB
6. Workshop - Using Torch and Torch Geometric for defining a graph.srt	26.9 KB
6.1 Workshop - Using Torch and Torch Geometric for defining a graph.py	1.9 KB
/.../2. From Convolutional Neural Network to Graph Neural Network/
1. Review on Convolution Operation.mp4	45.4 MB
1. Review on Convolution Operation.srt	7.8 KB
2. Graph Convolution (Signal Processing Point of View) Part A.mp4	95.1 MB
2. Graph Convolution (Signal Processing Point of View) Part A.srt	20.4 KB
2.1 ICASP 2020 Tutorial on Graph Convolution.html	0.1 KB
3. Graph Convolution (Signal Processing Point of View) Part B.mp4	49.1 MB
3. Graph Convolution (Signal Processing Point of View) Part B.srt	11.3 KB
3.1 ICASP 2020 Tutorial on Graph Convolution.html	0.1 KB
4. Message Passing Framework.mp4	30.3 MB
4. Message Passing Framework.srt	6.4 KB
/.../3. Introducing Different Graph Embedding Methods/
1. Graph Embedding Problem Statement.mp4	24.6 MB
1. Graph Embedding Problem Statement.srt	5.4 KB
10. Workshop - SGC (Part A).mp4	158.2 MB
10. Workshop - SGC (Part A).srt	21.1 KB
10.1 Workshop - SGC.py	3.5 KB
11. Workshop - SGC (Part B).mp4	189.8 MB
11. Workshop - SGC (Part B).srt	21.3 KB
12. Graph Convolution Network (GCN).mp4	115.2 MB
12. Graph Convolution Network (GCN).srt	24.5 KB
12.1 Detailed explanation of GCN paper [ YOUTUBE ].html	0.1 KB
12.2 SemiGCN.pdf	873.9 KB
13. Graph Attention Network.mp4	46.2 MB
13. Graph Attention Network.srt	9.7 KB
13.1 Detailed explanation of GAT paper [ YOUTUBE ].html	0.1 KB
13.2 GAT.pdf	1.6 MB
2. DeepWalk Algorithm.mp4	39.3 MB
2. DeepWalk Algorithm.srt	10.4 KB
2.1 DeppWalk.pdf	821.0 KB
3. Workshop - RandomWalk using karateclub library.mp4	255.6 MB
3. Workshop - RandomWalk using karateclub library.srt	30.0 KB
3.1 Workshop - DeepWalk_Karateclub.py	1.7 KB
4. Node2Vec Algorithm.mp4	17.8 MB
4. Node2Vec Algorithm.srt	4.2 KB
4.1 n2vec.pdf	800.2 KB
5. Workshop - Node2Vec Using Karateclub.mp4	142.7 MB
5. Workshop - Node2Vec Using Karateclub.srt	12.9 KB
5.1 Workshop - Node2Vec Using Karateclub.py	2.6 KB
6. Workshop - Node2Vec Using Pytorch Geometric (Part A).mp4	149.5 MB
6. Workshop - Node2Vec Using Pytorch Geometric (Part A).srt	20.3 KB
6.1 Workshop - Node2Vec_TorchGeo.py	3.0 KB
7. Workshop - Node2Vec Using Pytorch Geometric (Part B).mp4	175.8 MB
7. Workshop - Node2Vec Using Pytorch Geometric (Part B).srt	18.9 KB
8. GNN Motivation.mp4	26.9 MB
8. GNN Motivation.srt	5.3 KB
9. Simplifying Graph Convolution Network.mp4	43.2 MB
9. Simplifying Graph Convolution Network.srt	11.6 KB
9.1 SGC.pdf	1.5 MB
/.../4. Inductive and Transductive Graph Embedding/
1. Review on Popular GNN Embedding Methods.mp4	41.8 MB
1. Review on Popular GNN Embedding Methods.srt	11.2 KB
2. Transductive vs Inductive Embedding Methods.mp4	12.1 MB
2. Transductive vs Inductive Embedding Methods.srt	2.8 KB
3. GraphSAGE.mp4	48.0 MB
3. GraphSAGE.srt	11.2 KB
3.1 GraphSAGE.pdf	988.0 KB
/~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
Total files 71