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License: MIT License
Gated Graph Sequence Neural Networks
License: MIT License
Hi, I am confused about the relation between "propagation_net", "node update net" in your code and the propagation model in your paper. It seems that the "node update net" is the propagation model in your paper, and the parameter "self.prop_net_h_sizes" is {} in "propagation_net" when used in "BaseGGNN".
This is not a program error but I can't find anyone to ask to, you can close it if necessary.
https://github.com/yujiali/ggnn/blob/master/ggnn/BaseGGNN.lua#L123-L124
local update_gate = nn.Narrow(2, 1, self.state_dim)(gates)
local reset_gate = nn.Narrow(2, self.state_dim+1, self.state_dim)(gates)
remove the gate
@yujiali Thank you very much!!!
Hello,When I reproduce this code, i use run_experiments.py
to run the GGNN/GGS-NN
experiments, then there are some mistakes such as "AttributeError: 'NoneType' object has no attribute 'group'" and so many no attribute like that.
Hi,
I noticed in the propagation model in the paper you used node annotations as initial node representations, while it seems that node labels are not used then. What if I'd like to use information in node labels and also want to mark some nodes as special?
Thank you very much.
when i run the following command
$ ./get_10_fold_data.sh
there was error /usr/bin/env: ‘th’: No such file or directory,(i have install lua 5.3.2)
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