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I'm a little confused about the code of the cross graph mixer part. According to my understanding, the core code of this part is in model/policy/TSGMPolicy/perception.py, as shown below:
In the code, I fail to find the cross update function C (corresponding to equations 8 and 9 of the supplementary material). In my opinion, lines 86 and 87 in the code correspond to the self-update function S using Graph Attention Network. Lines 90 and 92 seem to correspond to the update function U (equations 10 and 11 in the supplementary material). And the update process goest through 2 iterations.
Therefore I am confused about the implementation of cross update function C. I don't know if my understanding is correct. If there are any mistakes, please help me point them out.
Thanks for your help!
The text was updated successfully, but these errors were encountered:
Hi,
Thanks for the excellent work!
I'm a little confused about the code of the cross graph mixer part. According to my understanding, the core code of this part is in model/policy/TSGMPolicy/perception.py, as shown below:
In the code, I fail to find the cross update function C (corresponding to equations 8 and 9 of the supplementary material). In my opinion, lines 86 and 87 in the code correspond to the self-update function S using Graph Attention Network. Lines 90 and 92 seem to correspond to the update function U (equations 10 and 11 in the supplementary material). And the update process goest through 2 iterations.
Therefore I am confused about the implementation of cross update function C. I don't know if my understanding is correct. If there are any mistakes, please help me point them out.
Thanks for your help!
The text was updated successfully, but these errors were encountered: