Comments (5)
zxp0903
commented on August 28, 2024
I found this problem too.
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xiaoyuxin1002
commented on August 28, 2024
Sorry, I am not quite sure about the error you encountered. It looks like an error with the formatting of pytorch_geometrics library.
Could you provide more details about this error? For example, did you run into that error for all 4 datasets, or just for Freebase? And under what settings did you get that error (supervised VS unsupervised, attributed VS unattributed)?
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Qidong-Liu
commented on August 28, 2024
I also encountered this problem, for both supervised and unsupervised.
PubMed dataset
Pytorch 1.7.0 CUDA 10.2 Python 3.7
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Luokejin
commented on August 28, 2024
I got this error,too. And I use the latest version of torch_geometric. I saw the code of HGT 's author who use the version of 1.3.2. But I can't install the dependencies with this version. Could you please help us slove this problem and show your torch_geometric version?
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xiaoyuxin1002
commented on August 28, 2024
I think the bug is due to different versions of torch_geometric.
I have updated the codes accordingly and HGT now works fine on PubMed using torch_geometric=1.6.1, torch=1.7.0.
Please feel free to check again.
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Related Issues (20)
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- Data
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- Cannot assign node feature "h" on device cuda:0 to a graph on device cpu. HOT 3
- R-GCN RuntimeError: Found dtype Long but expected Float HOT 1
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- dgl version conflict HOT 1
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- unsupervised training with HAN and MAGNN HOT 2
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- MAGNN training memory consumption HOT 2
- May I know how you find the best hyperparameters for the unsupervised task?
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