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Julie Donnelly

Julie Donnelly

2 years ago

Graph Convolutional Networks (GCNs)

Course website: http://bit.ly/DLSP21-home
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!

#graph #developer

Graph Convolutional Networks (GCNs)

youtube.com

Graph Convolutional Networks (GCNs)

Graph Convolutional Networks (GCNs). Self-learning resources with Xavier Bresson and Jure Leskovec. Graph Convolutional Networks (GCNs). Connection with Convolutional Nets (CNNs) on grids. Residual gated GCNs. Domain sparsity note. PyTorch implementation using Deep Graph Library (DGL)

21.45 GEEK