AIKT-Graph_Networks.md

AIKT-Graph_Networks

• 空域方法 (Spatial Domain)

  • GNN: The Graph Neural Network Model
  • GG-NN: Gated Graph Sequence Nerual Networks
  • GCNN: Geodesic Convolutional Neural Networks on Riemannian Nanifolds
  • DCNN: Diffusion-Convolutional Neural Networks
  • ACNN: Learning Shape Correspondence with Anisotropic Convolutional Neural Networks
  • MoNet: Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
  • GAT: Graph Attention Networks

• 谱域方法 (Spectral Domain)

  • SCNN: Spectral Networks and Locally Connected Networks on Graphs
  • SmoothSCNN: Deep Convolutional Networks on Graph-Structured Data
  • ChebNet: Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  • GCN: Semi-supervised Classification with Graph Convolutional Networks