Comments (2)
Also, could you please share your code for large dataset like reddit? As in the paper, sampling is essential to avoid huge GPU memory usage, but it is not in this repo.
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Also, could you please share your code for large dataset like reddit? As in the paper, sampling is essential to avoid huge GPU memory usage, but it is not in this repo.
You can use GraphSAGE in DGL for mini-batch training.
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Related Issues (19)
- Questions about data sets? HOT 8
- Help! HOT 4
- objective function in the paper?
- Why do we need to calculate for expectation before sum
- graph
- DATA
- Could anybody explain what are x,tx,allx,y,ty,ally? HOT 1
- About the meaning of learned features HOT 2
- If I want to add features for my edges, can I simply replace the encoder network with a network that supports edge_attr?
- Mean accuracy on fixed representation HOT 2
- Codes on reddit dataset HOT 1
- The code for Reddit!HELP! HOT 1
- Out of Memory on Pubmed Dataset HOT 6
- Corruption function only on node features X not graph structure A?
- Question about PPI dataset
- sigmoid function is missing in layers/discriminator.py HOT 1
- The time cost on Reddit HOT 2
- Error in AvgReadout
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