Comments (3)
matenure
commented on August 21, 2024
Thank you for your comment. I have updated the readme file and added two missing files.
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anuragsodhi
commented on August 21, 2024
Thanks for that. Also what is the difference between train_batch_multiRank_inductive_reddit_Mixlayers_sampleBatch.py
and
train_batch_multiRank_inductive_reddit_Mixlayers_sampleA.py
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matenure
commented on August 21, 2024
the "q" is different. sampleBatch selected elements from all columns while sampleA selected elements only from nonzero columns.
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Related Issues (20)
- Test accuracy on Cora, Citeseer, and Pubmed using original split HOT 5
- converting npz file from reddit json file
- Graphsage data prep for large datasets HOT 1
- Different weights for calculating probability
- Running on Reddit dataset is extremely slow HOT 3
- What are the pubmed-original_inductive_FastGCN.py and pubmed-original_transductive_FastGCN.py meaning? HOT 1
- Error in transformRedditGraph2NPZ.py HOT 4
- x tx files not opening HOT 1
- Embeddings
- for create_Graph.py bug
- The graph of FastGCN contains still the vertices of test, why the FastGCN is inductive? HOT 2
- Why not using the GPUs to train ? HOT 1
- How can gcn (batched) reduce memory usage? HOT 4
- `TypeError: 633 is not JSON serializable` when calling `create_Graph_forGraphSAGE.py` HOT 1
- Is this a one-layer version ? HOT 1
- no such folder named (./data/cora_graphSAGE) HOT 1
- Some question about CGNF HOT 2
- Setting of batch size and sampled layer size for large network
- If I want to see FastGCN's results on the Pumed dataset, ask which.py file to select？pubmed-original_inductive_FastGCN.py？
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