In this link I found some pooling layers modules:https://docs.dgl.ai/api/python/nn.pytorch.html#module-dgl.nn.pytorch.glob
the input feature
is (N,∗) shaped and the return value of the forward function is (∗) shaped,I’m confused about the return value, what’s the significance of the result?
And there are some model implemented such as sortpooling
and GlobalAttentionPooling
,do you have some plan to add models such as SAGPool
and graph U-net
or can I implement the model by myself with existing pooling layers relatively convenient?
Thanks !