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mldl@ub1604:~/ub16_prj/DeepGraphCNNforTexts$ python3 graphcnn_train.py
Traceback (most recent call last):
File "graphcnn_train.py", line 205, in
tf.app.run()
File "/usr/local/lib/python3.…
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thank you for your work!
when I run the main.py，meeting the question：
Traceback (most recent call last):
File "main.py", line 39, in
all_pc_data = load_all_point_clouds_under_folder(class…
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hi,thank you for your work.
when I run the code : python main.py, there is a problem:
Give me the class name (e.g. "chair"): chair
Traceback (most recent call last):
File "main.py", line 39, in …
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Thank you for your work.
You have used dropout prior to computing the output from each layer. What is the role of this dropout?
See: https://github.com/weihua916/powerful-gnns/blob/f2626e7ed9c81d40…
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Hi, Could you please mention what versions of keras and tensorflow is used in this project? I'm trying to import GraphCNN and getting Attribute errors and module errors. I'm trying to run this in Goog…
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Hello, I use the smplx template for training and only train the graphcnn module. In the process of training, I get good output results, but when I load checkpoint to run demo, I can't get good results…
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Hello.
I want no upsampling.
but, I have issues.
config.py
> self.upsampling = [False] + [False]*4 + [False]
`bash launch_gconv_train.sh `
> chair
> 6778 pclouds were loaded. They bel…
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I watched the code, you used the multi_label. But how do you compute the relation of hierarchy?
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Hello,
I am running hyper-parameter optimization with the command below:
bench.optimize_hyperparams(df_train=df_train, epochs=50, max_evals=30, splitter='maxmin',
best_m…
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@tkipf I have read the Issue #4 , there you discussed approximatly the same issue.
I want to use gcn of banking related data and want to train it on graph patterns.. But I am stuck in how should I…