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?
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!