Comments (1)
ChandlerBang
commented on May 24, 2024
Yes, that is true. ProGNN can only deal with the dense matrix as it needs to perform SVD and reconstruct the adjacency matrix. I used a GPU with 32GB and it worked well on Pubmed dataset. This is actually the major drawback of this model, which can be considered as a future work to improve. Also it is worth noting that metattack consumes even more than 32 GB memory on Pubmed.
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Related Issues (20)
- About the usage of validation set. HOT 8
- About the hyperparameter HOT 2
- about the details of the nettack experiment HOT 11
- A question about generating nettacked data HOT 2
- About the attacked graph HOT 1
- About pubmed dataset HOT 1
- codes between this one and deeprobust don't match well HOT 4
- the probleam of nettack HOT 3
- Questions about Netattack HOT 9
- Questions about node selection in Nettack HOT 2
- About Accuracy rate HOT 5
- about the details of the metattack experiment HOT 2
- About reconstructed graph data
- About the dataset
- Code for training using GAT HOT 2
- about GCN-Jaccard results HOT 1
- cora dataset node classification performance under mettack HOT 6
- How to compute the rank of adjacency maxtrix HOT 1
- Problem of experiments results on Polblogs dataset HOT 7
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