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The link prediction results based on embedding models in the paper are so high, why is the Hit@10 result of the TransE model only 0.47?
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## 🐛 Bug
## To Reproduce
Steps to reproduce the behavior:
1. python temporal_link_prediction.py
```
Training in cpu-cuda mode.
Loading data
Downloading datasets/diginetica-r2ne.zip …
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Sorry, I reviewed the code carefully, and we cannot reproduce the results presented in the paper. Additionally, is it reasonable to use test set data during the information subgraph acquisition proces…
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Hi,
For link prediction, the last layer is linear. So the output is in the set R. However, the predicted adjacency of a node i should be in {0,1}. I suppose the output of the last layer should be sof…
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Hi, author:
I notice that the code just be used to node classification. Could you please share the code about link prediction? Thank you very much!
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With pruning off, incomplete paths will be saved. Does it make sense to try some link prediction to jump these gaps, say after supporting edges are completed? There are numerous link prediction algor…
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From https://www.metaculus.com/faq/:
The link goes to https://www.metaculus.com/organization/public-figures…
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### Motivation: Why do you think this is important?
Running this workflow will upload the input `df` of `conc_prediction` 15x with different filenames to the connected blob storage. Each instance of …
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**Is your feature request related to a problem? Please describe.**
Addresses a limitation of the current method.
**Describe the solution you would like**
Possibly, a non-commutative feature c…