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@[TOC]GNN

Resources

从图(Graph)到图卷积(Graph Convolution):漫谈图神经网络模型 (一)

Vocabulary

  • Fixed Point Theorem : a convergency guarantee
  • Contraction Map
  • BP: Almeida-Pineda vs BPTT

Short Notes

  • To make f f f a Contraction Map: Penalize Jacobian Matrix of f f f over H H H. I.e. Bound its derivative.
  • GNN: stop when converged.
  • GNN drawbacks
    • Edges serve only as connections not learned
    • Not suitable for learning Graph Representation: all nodes share info with each other.
  • GGNN: replace convergent f f f with a Gated Unit like in RNN. Use BPTT instead of AP and can output before convergence. Edges now have weights that can be updated.

Q&A

  • From Tree to Graph: this is all?
  • Spectual Domain vs Spatial Domain
  • How to update weights
  • Attention

最后

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