The attention mechanism has demonstrated superior performance for inference over nodes in graph neural networks ( GNNs ) ,
We propose FastGAT , a method
The attention mechanism has demonstrated superior performance for inference over nodes in graph neural networks ( GNNs ) , however , they result in a high computational burden during both training and inference .
We propose FastGAT , a method to make attention based GNNs lightweight by using spectral sparsification to generate an optimal pruning of the input graph .