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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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## š Bug
## To Reproduce
Steps to reproduce the behavior:
1. python temporal_link_prediction.py
```
Training in cpu-cuda mode.
Loading data
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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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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 sofā¦
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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 algorā¦
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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 procesā¦
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Title, flipping levers / opening linked doors feels bad.
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get_prediction outside tsa
current:
- OLS, linear_model: linear prediction with confidence and prediction interval
- code in `regression._prediction`
- GLM linear prediction and link.inversā¦
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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 cā¦