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question about computational complexity in global-attn #41

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XingBin111 opened this issue Nov 17, 2023 · 1 comment
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question about computational complexity in global-attn #41

XingBin111 opened this issue Nov 17, 2023 · 1 comment

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@XingBin111
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The paper claims that global-attention is linear complexity in the number of nodes, but the code(https://github.com/rampasek/GraphGPS/blob/main/graphgps/layer/gps_layer.py#L201) seems to be square complexity. Is it linear or square?

@migalkin
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If you use global_model_type as a vanilla Transformer, then yes it's $O(N^2)$.

Just a few lines below you can select Performer for global attention, and Performer is linear

elif self.global_model_type == 'Performer':
h_attn = self.self_attn(h_dense, mask=mask)[mask]

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