Udemy - Graph Neural Network

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Added 4 years ago by freecoursewb in Other
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Udemy - Graph Neural Network

Torrent Contents Size: 1.9 GB

Udemy - Graph Neural Network
▼ show more 56 files
1. Graph Definition.mp4
MP4
23.9 MB
1. Graph Definition.srt
SRT
6.2 KB
1. Graph Embedding Problem Statement.mp4
MP4
23.5 MB
1. Graph Embedding Problem Statement.srt
SRT
5.3 KB
1. Review on Convolution Operation.mp4
MP4
43.3 MB
1. Review on Convolution Operation.srt
SRT
7.6 KB
1. Review on Popular GNN Embedding Methods.mp4
MP4
39.9 MB
1. Review on Popular GNN Embedding Methods.srt
SRT
10.9 KB
1.1 Why Graph Neural Network is important [ YOUTUBE ].html
HTML
102.4 B
10. Workshop - SGC (Part A).mp4
MP4
150.8 MB
10. Workshop - SGC (Part A).srt
SRT
20.6 KB
10.1 Workshop - SGC.py
PY
3.4 KB
11. Workshop - SGC (Part B).mp4
MP4
181 MB
11. Workshop - SGC (Part B).srt
SRT
20.8 KB
12. Graph Convolution Network (GCN).mp4
MP4
109.9 MB
12. Graph Convolution Network (GCN).srt
SRT
23.9 KB
12.1 Detailed explanation of GCN paper [ YOUTUBE ].html
HTML
102.4 B
12.2 SemiGCN.pdf
PDF
853.4 KB
13. Graph Attention Network.mp4
MP4
44.1 MB
13. Graph Attention Network.srt
SRT
9.5 KB
13.1 Detailed explanation of GAT paper [ YOUTUBE ].html
HTML
102.4 B
13.2 GAT.pdf
PDF
1.6 MB
2. DeepWalk Algorithm.mp4
MP4
37.5 MB
2. DeepWalk Algorithm.srt
SRT
10.2 KB
2. Graph Convolution (Signal Processing Point of View) Part A.mp4
MP4
90.7 MB
2. Graph Convolution (Signal Processing Point of View) Part A.srt
SRT
19.9 KB
2. Storing Graph Information.mp4
MP4
29.2 MB
2. Storing Graph Information.srt
SRT
7.1 KB
2. Transductive vs Inductive Embedding Methods.mp4
MP4
11.6 MB
2. Transductive vs Inductive Embedding Methods.srt
SRT
2.8 KB
2.1 DeppWalk.pdf
PDF
801.7 KB
2.1 ICASP 2020 Tutorial on Graph Convolution.html
HTML
102.4 B
3. Graph Convolution (Signal Processing Point of View) Part B.mp4
MP4
46.9 MB
3. Graph Convolution (Signal Processing Point of View) Part B.srt
SRT
11 KB
3. Graph Degree and Laplacian of Graph.mp4
MP4
42.8 MB
3. Graph Degree and Laplacian of Graph.srt
SRT
7.8 KB
3. GraphSAGE.mp4
MP4
45.7 MB
3. GraphSAGE.srt
SRT
11 KB
3. Workshop - RandomWalk using karateclub library.mp4
MP4
243.8 MB
3. Workshop - RandomWalk using karateclub library.srt
SRT
29.3 KB
3.1 GraphSAGE.pdf
PDF
964.8 KB
3.1 ICASP 2020 Tutorial on Graph Convolution.html
HTML
102.4 B
3.1 Workshop - DeepWalk_Karateclub.py
PY
1.7 KB
4. Definition of Learning in Graph Representation Learning.mp4
MP4
30.9 MB
4. Definition of Learning in Graph Representation Learning.srt
SRT
7.4 KB
4. Message Passing Framework.mp4
MP4
28.9 MB
4. Message Passing Framework.srt
SRT
6.2 KB
4. Node2Vec Algorithm.mp4
MP4
16.9 MB
4. Node2Vec Algorithm.srt
SRT
4.1 KB
4.1 A Literature Review on Graph Neural Networks [ YOUTUBE ].html
HTML
102.4 B
4.1 n2vec.pdf
PDF
781.4 KB
5. Drawback in existing graph learning models.mp4
MP4
10.9 MB
5. Drawback in existing graph learning models.srt
SRT
1.9 KB
5. Workshop - Node2Vec Using Karateclub.mp4
MP4
136.1 MB
5. Workshop - Node2Vec Using Karateclub.srt
SRT
12.6 KB
5.1 Workshop - Node2Vec Using Karateclub.py
PY
2.6 KB
6. Workshop - Node2Vec Using Pytorch Geometric (Part A).mp4
MP4
142.6 MB
6. Workshop - Node2Vec Using Pytorch Geometric (Part A).srt
SRT
19.8 KB
6. Workshop - Using Torch and Torch Geometric for defining a graph.mp4
MP4
218.7 MB
6. Workshop - Using Torch and Torch Geometric for defining a graph.srt
SRT
26.3 KB
6.1 Workshop - Node2Vec_TorchGeo.py
PY
2.9 KB
6.1 Workshop - Using Torch and Torch Geometric for defining a graph.py
PY
1.9 KB
7. Workshop - Node2Vec Using Pytorch Geometric (Part B).mp4
MP4
167.6 MB
7. Workshop - Node2Vec Using Pytorch Geometric (Part B).srt
SRT
18.4 KB
8. GNN Motivation.mp4
MP4
25.7 MB
8. GNN Motivation.srt
SRT
5.2 KB
9. Simplifying Graph Convolution Network.mp4
MP4
41.2 MB
9. Simplifying Graph Convolution Network.srt
SRT
11.3 KB
9.1 SGC.pdf
PDF
1.4 MB
Bonus Resources.txt
TXT
307.2 B
Get Bonus Downloads Here.url
URL
204.8 B

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