Skip to content

Latest commit

 

History

History
35 lines (23 loc) · 697 Bytes

9_Graph_Neural_Network.md

File metadata and controls

35 lines (23 loc) · 697 Bytes

deep learning based methods

Survey Github & Papers

Papers

  • Graph Neural Networks: A Review of Methods and Applications. Liuzhiyuan, Sunmaosong, et. al. 2019.

PyTorch BigGraph

  • PyTorch-BigGraph: A Large-scale Graph Embedding Framework. SysML conference in 2019.

Problems

  • node representation
  • node classification
  • link prediction
  • clustering i

Categories

  • GCN (Graph convolutional network)
  • GAT (Graph attention network)
  • GGNN (Gated graph neural network)
  • skip connection
  • Graph auto-encoders
  • Graph generative networks
  • Graph spatial-temporal networks