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View Code? Open in Web Editor NEWG-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
Home Page: https://arxiv.org/abs/2108.13049
G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
Home Page: https://arxiv.org/abs/2108.13049
Hi, thank you for sharing the code. When I tried to run it following the README.md
"Example Usage", it threw an error as follows,
TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
The error is caused by this line:
Line 242 in 19340eb
Thanks.
I want to ask why the attack loss used in training is the target model rather than the surrogate model mentioned in the paper.I see in the code that the training phase is using victim_ Net, and then update the parameters of G-NIA, but the paper says to use the surrogate GNN model to calculate the attack loss.
I could not locate the line in the code to specify this. Thanks!
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