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Hello, I want to quote your article, which needs to be reproduced now. Please tell me about the best superparameters of WN18RR, thank you very much.
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Taxo-CBR Experiment Logs
| |WN18RR| MRR| H@1| H@3| H@10| CN100K| MRR| H@1| H@3| H@10|
| -| -| -| -| -| -| -| -| -| - | - |
| TransE | | .226| | |.501 | |
| DistMult | | .43 | .39 | .44 | .49 | …
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~- [ ] DBLP~
~- [ ] PubMed~
~- [ ] Wiki-subset~
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May I ask you about the hyperparameters on WN18RR? Thanks a lot!
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### Description
When I want to reproduce the experiments in experiments/predictive_performance.py, it always has bug. I use terminal to input 'python predictive_performance.py -d wn18rr/fb15k-237 -m …
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Hi Ivana
I am trying to get entity embeddings for a downstream application. For WN18RR dataset I was unable to reproduce the reported results of TuckER. I used the hyperparameters given in the REA…
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### Description
When I run the Model selection process, even though I just use very small search space (just optimize one parameter), it always reports the bug:
ValueError: too many values to unpack…
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Hey thanks for releasing the code - is it possible to replicate your results from section 5.5 on explaining the answers to the queries?
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Hi Ines,
I ran the rotH method with the hyperparameters you provided for FB237, but the results are much worse than the reported ones.
Do you mind sharing the detailed hyperparameters setting o…