GRACE

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Scaling to larger datasets

2

Thanks for your awesome work! I am trying to apply GRACE to larger datasets, but according to your code, the training process is conducted in a full-batch way which hinders...

sunisfighting

Question about PubMed performance

6

Hi, In your paper, GRACE achieves 86.7% in Pubmed, and DGI achieves 86% in Pubmed. However, in the DGI paper, the performance of DGI only achieves 76.8% in Pubmed. I...

ltz0120

Hello! Thanks for the codes! I have a question on how to use the augmentation including RE and MF mentioned in the paper on a large graph. Now, I randomly...

o0vv0o

Hello, thank you very much for providing the source code, but I am having some problems reproducing Citeseer's results, no matter how many times I run it, the best F1...

LBShinChan

In your implementation setting, such as in Cora, hidden dim = 128, but in your code, you double it to `2 * out_channels`, is this reasonable? Apparently the current dimension...

downeykking

just delete "n_jobs=8"

youarenotfish

Thank you for your efforts! When I utilize this model to process a large graph, I've observed that the space complexity of the batched loss becomes O(N^2). Consequently, the GPU...

Humputer

I wonder if the loss function in the paper was first proposed by you? Thank you very much!

gaoshihao333