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In the paper, you have wirtten the algorihtm about how to train the interactiveGCN, but I'am confused to the "Do not stop gradients".
In algorithm 1, it look's like InteractiveGCN is the inference procedure and the TrainInteractiveGCN is the train procedure. Can you explain the "Do not stop gradients" more clearly?
The text was updated successfully, but these errors were encountered:
In the paper, you have wirtten the algorihtm about how to train the interactiveGCN, but I'am confused to the "Do not stop gradients".
In algorithm 1, it look's like InteractiveGCN is the inference procedure and the TrainInteractiveGCN is the train procedure. Can you explain the "Do not stop gradients" more clearly?
The text was updated successfully, but these errors were encountered: