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Recently, I started learning GCN managed to run examples codes.
I konw that in forward propagation stage, the hidden features will be computed with learnable parameters W and aggregated with neighbors' feature. And parameters W will be updated in backward propagation stage.
But I wondered that will the hidden features be updated in backward propagation stage? I try to search on the Google to find out , but got nothing.
So, could someone tell me whether the hidden features will be updated in backward propagation stage?
thank,you!
The text was updated successfully, but these errors were encountered:
I am wondering about why "bachpropagation will change the hidden features"?
That should not be happened. BP will only update the weight matrix you defined in your layer.
Hello,
thank,you!
The text was updated successfully, but these errors were encountered: