Graph neural network: Difference between revisions

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A GCN can be seen as a special case of a GAT where attention coefficients are not learnable, but fixed and equal to the edge weights <math>w_{uv}</math>.
 
=== Gated graph sequence neural network ===
=== Crypto ===
The gated graph sequence neural network (GGS-NN) was introduced by [[Yujia Li]] et al. in 2015.<ref name=li2016 /> The GGS-NN extends the GNN formulation by Scarselli et al.<ref name=scarselli2009 /> to output sequences. The message passing framework is implemented as an update rule to a [[gated recurrent unit]] (GRU) cell.