Comments (1)
daiquocnguyen
commented on May 20, 2024
2
Our unsupervised results shown in our paper are obtained using the Tensorflow implementation. I do think the Pytorch implementation can get better performance.
Note that in case you follow our unsupervised learning, you may get risks. Reviewers from ICLR and ICML did not accept our unsupervised results (because of too good to be true). I clearly mentioned that I just followed some unsupervised graph embedding models to use all nodes from the entire dataset to train the unsupervised U2GNN, but they did not accept this fact.
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Related Issues (19)
- Graph input format HOT 5
- Error while running "train_UGformerV2.py" HOT 1
- Results decrease after shuffling the dataset HOT 1
- transition layer HOT 1
- Do you plan to apply to machine translation? HOT 1
- No node attribute lables HOT 1
- Format of the dataset HOT 1
- Please help me HOT 6
- Issue while running the demo code HOT 5
- Area under the ROC Curve ??
- Essential related method: "Universal Transformers"
- Build own dataset HOT 5
- Code run error HOT 1
- dataset HOT 1
- Where will the learned embedding saved?
- order requirement ? HOT 2
- Error while running "train_pytorch_U2GNN_UnSup.py" HOT 5
- About the result HOT 2
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from graph-transformer.