@[TOC]GNN
Resources
從圖(Graph)到圖卷積(Graph Convolution):漫談圖神經網絡模型 (一)
Vocabulary
- Fixed Point Theorem : a convergency guarantee
- Contraction Map
- BP: Almeida-Pineda vs BPTT
Short Notes
- To make a Contraction Map: Penalize Jacobian Matrix of over . 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 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