You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I found that the input of the En-Transformer is different from EGNN in your released repository that EGNN using torch_geometric lib to deal with the node and edge. For instance, EGNN-pytorch encode node: [bs_node_number_sum, dim], and edge: [2, bs_edge_number_sum]. So I want to know how to put this type data into En-Transformer?
thanks!
The text was updated successfully, but these errors were encountered:
Hi @lucidrains,
I found that the input of the En-Transformer is different from EGNN in your released repository that EGNN using
torch_geometric
lib to deal with the node and edge. For instance, EGNN-pytorch encode node:[bs_node_number_sum, dim]
, and edge:[2, bs_edge_number_sum]
. So I want to know how to put this type data into En-Transformer?thanks!
The text was updated successfully, but these errors were encountered: