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[ FreeCourseWeb com ] Udemy - Graph Neural Network
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1. Graph Terminology & Representation
1. Graph Definition.mp4
1. Graph Definition.srt
1.1 Why Graph Neural Network is important [ YOUTUBE ].html
2. Storing Graph Information.mp4
2. Storing Graph Information.srt
3. Graph Degree and Laplacian of Graph.mp4
3. Graph Degree and Laplacian of Graph.srt
4. Definition of Learning in Graph Representation Learning.mp4
4. Definition of Learning in Graph Representation Learning.srt
4.1 A Literature Review on Graph Neural Networks [ YOUTUBE ].html
5. Drawback in existing graph learning models.mp4
5. Drawback in existing graph learning models.srt
6. Workshop - Using Torch and Torch Geometric for defining a graph.mp4
6. Workshop - Using Torch and Torch Geometric for defining a graph.srt
6.1 Workshop - Using Torch and Torch Geometric for defining a graph.py
2. From Convolutional Neural Network to Graph Neural Network
1. Review on Convolution Operation.mp4
1. Review on Convolution Operation.srt
2. Graph Convolution (Signal Processing Point of View) Part A.mp4
2. Graph Convolution (Signal Processing Point of View) Part A.srt
2.1 ICASP 2020 Tutorial on Graph Convolution.html
3. Graph Convolution (Signal Processing Point of View) Part B.mp4
3. Graph Convolution (Signal Processing Point of View) Part B.srt
3.1 ICASP 2020 Tutorial on Graph Convolution.html
4. Message Passing Framework.mp4
4. Message Passing Framework.srt
3. Introducing Different Graph Embedding Methods
1. Graph Embedding Problem Statement.mp4
1. Graph Embedding Problem Statement.srt
10. Workshop - SGC (Part A).mp4
10. Workshop - SGC (Part A).srt
10.1 Workshop - SGC.py
11. Workshop - SGC (Part B).mp4
11. Workshop - SGC (Part B).srt
12. Graph Convolution Network (GCN).mp4
12. Graph Convolution Network (GCN).srt
12.1 Detailed explanation of GCN paper [ YOUTUBE ].html
12.2 SemiGCN.pdf
13. Graph Attention Network.mp4
13. Graph Attention Network.srt
13.1 Detailed explanation of GAT paper [ YOUTUBE ].html
13.2 GAT.pdf
2. DeepWalk Algorithm.mp4
2. DeepWalk Algorithm.srt
2.1 DeppWalk.pdf
3. Workshop - RandomWalk using karateclub library.mp4
3. Workshop - RandomWalk using karateclub library.srt
3.1 Workshop - DeepWalk_Karateclub.py
4. Node2Vec Algorithm.mp4
4. Node2Vec Algorithm.srt
4.1 n2vec.pdf
5. Workshop - Node2Vec Using Karateclub.mp4
5. Workshop - Node2Vec Using Karateclub.srt
5.1 Workshop - Node2Vec Using Karateclub.py
6. Workshop - Node2Vec Using Pytorch Geometric (Part A).mp4
6. Workshop - Node2Vec Using Pytorch Geometric (Part A).srt
6.1 Workshop - Node2Vec_TorchGeo.py
7. Workshop - Node2Vec Using Pytorch Geometric (Part B).mp4
7. Workshop - Node2Vec Using Pytorch Geometric (Part B).srt
8. GNN Motivation.mp4
8. GNN Motivation.srt
9. Simplifying Graph Convolution Network.mp4
9. Simplifying Graph Convolution Network.srt
9.1 SGC.pdf
4. Inductive and Transductive Graph Embedding
1. Review on Popular GNN Embedding Methods.mp4
1. Review on Popular GNN Embedding Methods.srt
2. Transductive vs Inductive Embedding Methods.mp4
2. Transductive vs Inductive Embedding Methods.srt
3. GraphSAGE.mp4
3. GraphSAGE.srt
3.1 GraphSAGE.pdf
Bonus Resources.txt
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