- 11 – Graph Convolutional Networks (GCNs)

11 – Graph Convolutional Networks (GCNs)

Course website: http://bit.ly/DLSP21-web
Playlist: http://bit.ly/DLSP21-YouTube
Speaker: Alfredo Canziani

Chapters
00:00 – Welcome to class
00:20 – Recap from lecture 10 → Graph Transformer Networks (GTNs)
02:50 – Today plan: tensors/representations living on vertices and edges
03:20 – Self-lear...
Course website: http://bit.ly/DLSP21-web
Playlist: http://bit.ly/DLSP21-YouTube
Speaker: Alfredo Canziani

Chapters
00:00 – Welcome to class
00:20 – Recap from lecture 10 → Graph Transformer Networks (GTNs)
02:50 – Today plan: tensors/representations living on vertices and edges
03:20 – Self-learning resources with Xavier Bresson and Jure Leskovec
04:42 – Graph Convolutional Networks (GCNs)
23:38 – Connection with Convolutional Nets (CNNs) on grids
26:36 – Residual gated GCNs
37:26 – Domain sparsity note
38:27 – PyTorch implementation using Deep Graph Library (DGL)
56:44 – And that was it!

#PyTorch #NYU #Yann LeCun #Deep Learning #neural networks

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– Welcome to class - 11 – Graph Convolutional Networks (GCNs)

– Welcome to class

11 – Graph Convolutional Networks (GCNs)
2021年06月30日　
00:00:00 - 00:00:20
– Recap from lecture 10 → Graph Transformer Networks (GTNs) - 11 – Graph Convolutional Networks (GCNs)

– Recap from lecture 10 → Graph Transformer Networks (GTNs)

11 – Graph Convolutional Networks (GCNs)
2021年06月30日　
00:00:20 - 00:02:50
– Today plan: tensors/representations living on vertices and edges - 11 – Graph Convolutional Networks (GCNs)

– Today plan: tensors/representations living on vertices and edges

11 – Graph Convolutional Networks (GCNs)
2021年06月30日　
00:02:50 - 00:03:20
– Self-learning resources with Xavier Bresson and Jure Leskovec - 11 – Graph Convolutional Networks (GCNs)

– Self-learning resources with Xavier Bresson and Jure Leskovec

11 – Graph Convolutional Networks (GCNs)
2021年06月30日　
00:03:20 - 00:04:42
– Graph Convolutional Networks (GCNs) - 11 – Graph Convolutional Networks (GCNs)

– Graph Convolutional Networks (GCNs)

11 – Graph Convolutional Networks (GCNs)
2021年06月30日　
00:04:42 - 00:23:38
– Connection with Convolutional Nets (CNNs) on grids - 11 – Graph Convolutional Networks (GCNs)

– Connection with Convolutional Nets (CNNs) on grids

11 – Graph Convolutional Networks (GCNs)
2021年06月30日　
00:23:38 - 00:26:36
– Residual gated GCNs - 11 – Graph Convolutional Networks (GCNs)

– Residual gated GCNs

11 – Graph Convolutional Networks (GCNs)
2021年06月30日　
00:26:36 - 00:37:26
– Domain sparsity note - 11 – Graph Convolutional Networks (GCNs)

– Domain sparsity note

11 – Graph Convolutional Networks (GCNs)
2021年06月30日　
00:37:26 - 00:38:27
– PyTorch implementation using Deep Graph Library (DGL) - 11 – Graph Convolutional Networks (GCNs)

– PyTorch implementation using Deep Graph Library (DGL)

11 – Graph Convolutional Networks (GCNs)
2021年06月30日　
00:38:27 - 00:56:44
– And that was it! - 11 – Graph Convolutional Networks (GCNs)

– And that was it!

11 – Graph Convolutional Networks (GCNs)
2021年06月30日　
00:56:44 - 00:57:34
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Alfredo Canziani

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スペースでAND検索・ORで区切るとOR検索・先頭に「-」で除外検索

動画数：129件

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