Comments (4)
hello!
I am interested in your excellent work!
But when I run your code, I notice that the training process is time consuming.
So I want to know how much time per epoch need in each data set!
Thanks!
HELLO,I'm checking too.Can you run his code? Or could you please send your code to me? Thank you, my email [email protected]
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Hello!
1 epoch takes about 1500 seconds = 25 mins on ICEWS18.
Bigger datasets will take more time!
Thanks for your interest!
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from re-net.
Hi @fangyiming
The repo includes the complete code.
I have updated the instruction for installation.
If the instruction doesn't work, could you open a new issue and describe your error messages?
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Related Issues (20)
- Excuse me, where is the code of TTransE? HOT 1
- ICEWS14 dataset missing file HOT 1
- none
- Environment issues HOT 4
- How to run "train.py " faster and eficientlier? HOT 2
- How can I set RE-NET w. GT to reproduce experiment HOT 3
- bug in model.predict() with s and s.item() HOT 1
- inconsistency in model.py predict() with timesteps for subject vs object HOT 1
- 找不到get_history_graph.py HOT 1
- How to do inference HOT 10
- why not valid.txt? HOT 1
- RuntimeError: Expected object of scalar type Long but got scalar type Int for argument #2 'target' in call to _thnn_nll_loss_forward HOT 1
- When I ran pre-train, pc said that the data of the graph was not placed in the gpu. Is it related to the dgl version? Or is there a problem with the code you wrote HOT 5
- What is the purpose of the pretrain step?
- Can provide the code about "multi-step with groundtruth" in Table 2
- Raw Data Sources
- 没有data/DATA_NAME 这个目录
- 数据集格式问题
- GDELT Data Explaination HOT 1
- How to generate GDELT dataset for model training from raw GDELT data?
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