RGM
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DGCNN implementation
Hi, I compared your implementation with the original DGCNN and I find out that, in yours the function "get_graph_feature" is only used before the first convolution operation, instead of using it before every convolution layer.
I am wondering if there is some reason behind this difference.
https://github.com/fukexue/RGM/blob/b0e2f742ab58e1b87cabb779d1c24f1441f827c9/models/dgcnn.py#L154-L179