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I noticed you take the last slice in the L dimension. In my understanding, T^TiD will change in L dimension. Why don't use t_i_d_data[:, :, -1]? temporal embeddings should have nothing to do with num_nodes https://github.com/zezhishao/STID/blob/f9801a5d4939e7d3eb100525c1c027cbd34630d3/stid/stid_arch/stid_arch.py#L80-L86
t_i_d_data[:, :, -1]
num_nodes
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I think I get the answer from #10 . Thanks for your great work!
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I noticed you take the last slice in the L dimension. In my understanding, T^TiD will change in L dimension. Why don't use
t_i_d_data[:, :, -1]
? temporal embeddings should have nothing to do withnum_nodes
https://github.com/zezhishao/STID/blob/f9801a5d4939e7d3eb100525c1c027cbd34630d3/stid/stid_arch/stid_arch.py#L80-L86
The text was updated successfully, but these errors were encountered: