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How can I implement the GAT model to a regression problem?
As the labels of regression task are between an interval, e.g., 0 - 100.
Can I simply connect the output of Multi-head attention with a few FC layers, and finally a single neuron, i.e., FC layer with one neuron to predict and calculate the loss between the output and label?
I'm looking forward to your early reply.
Best,
Shuyue
The text was updated successfully, but these errors were encountered:
Dear,
How can I implement the GAT model to a regression problem?
As the labels of regression task are between an interval, e.g., 0 - 100.
Can I simply connect the output of Multi-head attention with a few FC layers, and finally a single neuron, i.e., FC layer with one neuron to predict and calculate the loss between the output and label?
I'm looking forward to your early reply.
Best,
Shuyue
The text was updated successfully, but these errors were encountered: