Comments (10)
Hi, I think you can try increase the weight of the low rank loss, i.e.
You can first try what I suggested. If you still have problems, you can come back here.
from deeprobust.
Hi, I think you can try increase the weight of the low rank loss, i.e.
$\beta$ or lower the value of other loss weights. But I feel it weird since the$\beta$ in the original Pro-GNN setting is already pretty large....You can first try what I suggested. If you still have problems, you can come back here.
Thanks for your reply and I will try your suggestion!
from deeprobust.
Hi, I think you can try increase the weight of the low rank loss, i.e.
$\beta$ or lower the value of other loss weights. But I feel it weird since the$\beta$ in the original Pro-GNN setting is already pretty large....
You can first try what I suggested. If you still have problems, you can come back here.Thanks for your reply and I will try your suggestion!
Hi, when
Hi, I think you can try increase the weight of the low rank loss, i.e.
$\beta$ or lower the value of other loss weights. But I feel it weird since the$\beta$ in the original Pro-GNN setting is already pretty large....
You can first try what I suggested. If you still have problems, you can come back here.Thanks for your reply and I will try your suggestion!
Hello, when I test examples by using "python examples/image/test_PGD.py", the error is that Load network
Traceback (most recent call last):
File "examples/image/test_PGD.py", line 19, in
import ipdb
ModuleNotFoundError: No module named 'ipdb'
I installed ipdb, but it has the same error. Could you give me some suggestion?
from deeprobust.
Hi,
I cannot reproduce the bug but you can simply remove the two lines of code import ipdb; ipdb.set_trace()
in test_PGD.py
as it is just a debugging tool.
from deeprobust.
Hi,
I cannot reproduce the bug but you can simply remove the two lines of code
import ipdb; ipdb.set_trace()
intest_PGD.py
as it is just a debugging tool.
Thank you very much!
from deeprobust.
Hi,
I cannot reproduce the bug but you can simply remove the two lines of code
import ipdb; ipdb.set_trace()
intest_PGD.py
as it is just a debugging tool.
Hi, Could you give me some suggestion? When I test examples by using "python examples/image/test_lbfgs.py", the error is that File "examples/image/test_lbfgs.py", line 28, in
AdvExArray, dis, loss, valueofc= attack.generate(xx, yy, **attack_params['LBFGS_MNIST'])
TypeError: generate() missing 1 required positional argument: 'target_label'
from deeprobust.
Hi,
I cannot reproduce the bug but you can simply remove the two lines of codeimport ipdb; ipdb.set_trace()
intest_PGD.py
as it is just a debugging tool.Thank you very much!
Yes, you can simply remove the two lines. I'll also remove them from the example. Thanks!
from deeprobust.
Hi,
I cannot reproduce the bug but you can simply remove the two lines of codeimport ipdb; ipdb.set_trace()
intest_PGD.py
as it is just a debugging tool.Thank you very much!
Yes, you can simply remove the two lines. I'll also remove them from the example. Thanks!
Thanks. I have another problem. When I test examples by using "python examples/image/test_lbfgs.py", the error is that File "examples/image/test_lbfgs.py", line 28, in
AdvExArray, dis, loss, valueofc= attack.generate(xx, yy, **attack_params['LBFGS_MNIST'])
TypeError: generate() missing 1 required positional argument: 'target_label'. I have not find the value of target_label.Could you give me some suggestion.
from deeprobust.
Hi,
I cannot reproduce the bug but you can simply remove the two lines of codeimport ipdb; ipdb.set_trace()
intest_PGD.py
as it is just a debugging tool.Thank you very much!
Yes, you can simply remove the two lines. I'll also remove them from the example. Thanks!
Thanks. I have another problem. When I test examples by using "python examples/image/test_lbfgs.py", the error is that File "examples/image/test_lbfgs.py", line 28, in
AdvExArray, dis, loss, valueofc= attack.generate(xx, yy, **attack_params['LBFGS_MNIST'])
TypeError: generate() missing 1 required positional argument: 'target_label'. I have not find the value of target_label.Could you give me some suggestion.
Yes, for lbfgs attack we need to specify the target_label. Plz see the updated example.
from deeprobust.
Hi,
I cannot reproduce the bug but you can simply remove the two lines of codeimport ipdb; ipdb.set_trace()
intest_PGD.py
as it is just a debugging tool.Thank you very much!
Yes, you can simply remove the two lines. I'll also remove them from the example. Thanks!
Thanks. I have another problem. When I test examples by using "python examples/image/test_lbfgs.py", the error is that File "examples/image/test_lbfgs.py", line 28, in
AdvExArray, dis, loss, valueofc= attack.generate(xx, yy, **attack_params['LBFGS_MNIST'])
TypeError: generate() missing 1 required positional argument: 'target_label'. I have not find the value of target_label.Could you give me some suggestion.Yes, for lbfgs attack we need to specify the target_label. Plz see the updated example.
Thank you very much!
from deeprobust.
Related Issues (20)
- why the cora dataset in deeprobust have 2485 nodes,and cora dataset in pyg have 2708 nodes? which one is correct? HOT 1
- How targeted_attack attack a subset of nodes? HOT 2
- The problem of NIPA HOT 1
- Issue With Dataset library in deeprobust for Setting as prognn and for Windows Platform. HOT 2
- Does deeprobust support ImageNet dataset and how to set parameters for attack algorithms when using it?
- AttributeError: 'Dataset' object has no attribute 'root' Dataset of deeprobust HOT 2
- error during installation windows 11 HOT 7
- Dose deeprobust support image segmentation models such as FCN? how to use it
- A source code error when using deeprobust.graph.data.Dataset under windows (have solved) HOT 3
- Custom Dataset HOT 1
- Issues related to graph injection attacks on NIPA HOT 5
- About Random Seeds HOT 2
- Getting scipy error on running test_pgdtraining.py
- Question about PGD graph global attack with CE/CW loss
- Can this support GraphSAGE?
- About the sparse matrix
- An error in the installation process HOT 1
- 关于graph是否使用lcc版本的设置问题 HOT 1
- why the accuracy in pubmed is so high?
- A bug found in SGA on Pubmed dataset
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