Thank you for your opening code. In utils.py construct_adj method, I found that you fill a same matrix in the diagnoal:
for i in range(steps): adj[i * N: (i + 1) * N, i * N: (i + 1) * N] = A
However, in your paper you said "he diagonal of the adjacency matrix are the adjacency matrices of the spatial networks of three continuous time steps".
Is there some other plcae you set the two continuous time steps metrix?
Thank you for your opening code. In utils.py construct_adj method, I found that you fill a same matrix in the diagnoal:
for i in range(steps): adj[i * N: (i + 1) * N, i * N: (i + 1) * N] = AHowever, in your paper you said "he diagonal of the adjacency matrix are the adjacency matrices of the spatial networks of three continuous time steps".
Is there some other plcae you set the two continuous time steps metrix?