processing with karate datasets

[ycq091044]

No description provided.

[ycq091044]

I have trained a GCN to get the node embedings for karate dataset.
The codes, revised model files and the result pic are listed.

[tkipf]

Thanks, I’ll leave this open so people who are interested can make use of it. To avoid clutter and to keep things simple, I prefer not to merge this into master. But I’m sure others will find it useful:)

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On Wed 11. Jul 2018 at 04:04 Chaoqi Yang ***@***.***> wrote: I have trained a GCN to get the node embedings for karate dataset. The codes, revised model files and the result pic are listed. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#13 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AHAcYMgH9wzMzTGURtBN6e-Ep6MErJsyks5uFWtTgaJpZM4VKalm> .

[tiredDi]

I have trained a GCN to get the node embedings for karate dataset.
The codes, revised model files and the result pic are listed.

Hi,thanks for your sharing.
I run your code to create two file: karate.cites and karate.content, it success. However when I runed train_karate.py, it made this mistake:
RuntimeError: Expected object of type torch.cuda.LongTensor but found type torch.LongTensor for argument #3 'index'

This question point to this sentence:
loss = criterion(torch.index_select(output, 0, indices),torch.LongTensor([0,1,2,3]))
(I try to change it to: loss = criterion(torch.index_select(output, 0, indices),torch.cuda.LongTensor([0,1,2,3])) , but it doesn't work)

The complete error is as follow:
/home/wtu/anaconda3/envs/py/lib/python3.5/site-packages/torch/nn/functional.py:995: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead.
warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.")
/home/wtu/project/pygcn_data/models2.py:22: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.
return F.softmax(x)
Traceback (most recent call last):
File "/home/wtu/project/pygcn_data/train_karate.py", line 92, in
train(epoch)
File "/home/wtu/project/pygcn_data/train_karate.py", line 80, in train
loss = criterion(torch.index_select(output, 0, indices),torch.LongTensor([0,1,2,3]))
RuntimeError: Expected object of type torch.cuda.LongTensor but found type torch.LongTensor for argument #3 'index'

looking forward to your reply

[tkipf]

Try running it on CPU only or put that tensor explicitly on GPU.

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On Sun, Jun 2, 2019 at 3:43 AM verds ***@***.***> wrote: I have trained a GCN to get the node embedings for karate dataset. The codes, revised model files and the result pic are listed. Hi,thanks for your sharing. I run your code to create two file: karate.cites and karate.content, it success. However when I runed train_karate.py, it made this mistake: RuntimeError: Expected object of type torch.cuda.LongTensor but found type torch.LongTensor for argument #3 <#3> 'index' This question point to this sentence: loss = criterion(torch.index_select(output, 0, indices),torch.LongTensor([0,1,2,3])) (I try to change it to: loss = criterion(torch.index_select(output, 0, indices),torch.cuda.LongTensor([0,1,2,3])) , but it doesn't work) The complete error is as follow: /home/wtu/anaconda3/envs/py/lib/python3.5/site-packages/torch/nn/functional.py:995: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead. warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.") /home/wtu/project/pygcn_data/models2.py:22: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. return F.softmax(x) Traceback (most recent call last): File "/home/wtu/project/pygcn_data/train_karate.py", line 92, in train(epoch) File "/home/wtu/project/pygcn_data/train_karate.py", line 80, in train loss = criterion(torch.index_select(output, 0, indices),torch.LongTensor([0,1,2,3])) RuntimeError: Expected object of type torch.cuda.LongTensor but found type torch.LongTensor for argument #3 <#3> 'index' looking forward to your reply — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#13?email_source=notifications&email_token=ABYBYYHMQWLHEKABMMBGWDDPYOP5XA5CNFSM4FJJVFTKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGODWXSZZA#issuecomment-498019556>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ABYBYYAAWFVEXBLDZDZ67PDPYOP5XANCNFSM4FJJVFTA> .

[tiredDi]

Try running it on CPU only or out that tensor explicitly on GPU.

Thanks for your reply, I work it out.
I change "loss = criterion(torch.index_select(output, 0, indices),torch.LongTensor([0,1,2,3]))" to
"loss = criterion(torch.index_select(output, 0, indices),torch.cuda.LongTensor([0,1,2,3]))"
and change "indices = torch.LongTensor([0, 16,18,24])" to
"indices = torch.cuda.LongTensor([0, 16,18,24])"
Then success~