Comments (10)
Sure you can do that.
You can refer to the predicted graph in the inference code which is for creating a graph at each time stamp.
First, you sample subjects, then relations, and then objects at a certain time stamp.
With this set of triples, you have a graph at the time stamp.
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facing with the same question, any solutions?
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Hi Could you elaborate the issue? What dataset are you using?
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There should be some rules for timestamps as described in the paper:
- The timestamps are discrete integers and have equal intervals.
- The timestamps of the test set should be after those of the training set.
Please follow these rules!
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Hey hi, did you manage to compete this? I am curious about your use case!
Hello, Could you provide some help with it? On Thu, Aug 18, 2022 at 3:21 AM MELIS OKTAYOGLU @.> wrote:
…
Could you elaborate? How to proceed after training, validating and testing? On Wed, Aug 17, 2022, 8:03 PM Woojeong Jin @.> wrote: > Sure you can do that. > The predicted graph in the code is for creating a graph at each time > stamp. > First, you sample subjects, then relations, and then objects at a certain > time stamp. > With this set of triples, you have a graph at the time stamp. > > — > Reply to this email directly, view it on GitHub > <#66 (comment)>, > or unsubscribe > https://github.com/notifications/unsubscribe-auth/ARJIGM3REBVJ67VZUNKQ63DVZV4V3ANCNFSM52DKRHQQ > . > You are receiving this because you authored the thread.Message ID: > @.***> >
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Related Issues (20)
- 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
- 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?
- CUDA error: no kernel image is available for execution on the device HOT 1
- utils.get_true_distribution函数有两个逻辑问题
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