Graph neural network: Difference between revisions

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The graph attention network (GAT) was introduced by [[Petar Veličković]] et al. in 2018.<ref name=velickovic2018 />
 
Graph attention network is a combination of a graph neural networkGNN and an attention layer.
The implementation of attention layer in graphical neural networks helps provide attention or focus to the important information from the data instead of focusing on the whole data.