Thanks for your code sharing.
In Ablation Study, the paper mentioned the experiment of using a pre-defined adjacency matrix based on the kinematic tree. In the code, I found that you regard the position(x, y, z) of one node as three nodes in your graph. So I am curious about when you use a pre-defined adjacency matrix, you regard (x, y, z) as the attribute rather than three nodes? It means that the input nodes are 22 rather than 66 in your 3D training.
Thanks for your code sharing. In Ablation Study, the paper mentioned the experiment of using a pre-defined adjacency matrix based on the kinematic tree. In the code, I found that you regard the position(x, y, z) of one node as three nodes in your graph. So I am curious about when you use a pre-defined adjacency matrix, you regard (x, y, z) as the attribute rather than three nodes? It means that the input nodes are 22 rather than 66 in your 3D training.