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!
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!