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Hello,
I am wondering how I can import PYG datasets and convert it to the CogDL data format. For example, currently I didn't find CogDL supports Reddit for transductive learning. (I also didn't fin…
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## Title & Topic
- sequence prediction 분야에서의 transduction, transductive learning 개념과 방법론을 알아본다
- transducer로서의 RNN 개념을 파악한다
- transduction에서 파생된 트랜스포머 네트워크 개념을 이해한다
## Upload schedule
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您的代码attack-3中
logits_a = net2(generated_g, generated_features)
acc2 = evaluate(net2, sub_g_b, sub_features_b, sub_labels_b, sub_test_mask_b)
训练和测试的时候不是同一个graph。但是GCN不是一个transductive learning吗？为什么…
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Hi, @rusty1s , thanks for your really great job and wonderful codes!!! I am recently doing some jobs about Graph Representation Learning and I am working on Reddit dataset. It seems you deal with the …
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### Description
To train the GraphSAGE or HinSAGE model without node attributes we currently need use a one-hot input feature matrix which is computationally intractable for a large number of nodes. …
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Hello, author. When I ran your model, I could not get the experimental results in the paper on the data sets FLO,SUN and AWA2. Could you please provide the parameters when running FLO,SUN and AWA2?
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hi,can you tell me what exactly has changed in the INDUCTIVE code? I see your code is in TRANSDUCT code.
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Can this code (pygcn) be used directly in transductive learning? I notice that the train loss (in train.py) is calculated as `loss_train = F.nll_loss(output[idx_train], labels[idx_train])`, but in pap…
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Hello,
I'm hoping to confirm that the hyperparameters specified in your paper are correct. Specifically, for miniimagenet, 100k meta steps were taken during training? I ask because it seems some of…