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Hi,
I experimented with TransE and TransH on ConceptNet (2.2M entities, 37 relations and 4.8M triplets).
The training speed looks good. But the validation speed (using 16 cores CPU or 1080Ti a…
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Reproducing the results with the hyperparameters mentioned in the repo and even with other variations produced a max MRR of 0.451 but the claimed MRR in paper is 0.518.
Is This expected or am I missi…
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I find a problem in the eval.py. when the scores of these entities are same, the ranking of the all entities are 1. Can you explain this？
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Dear author,
FB15K and FB15K237 don/t have train_pra.txt, can you provide it
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Dear Xu:
Sorry to bother you!
When using OpenKE to train transE, I got the following output:
> Loading data...
Input Files Path : ./benchmarks/TRANSE/
The toolkit is importing datasets.
The to…
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It seems when generating type constraints triples in the test data are also involved. Isn't it then quite obvious that type constraints will help improve the performance of the models, because of this…
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I am trying to reproduce results, as well as try a new dataset, FB15K-237; I'd appreciate any thoughts you have (see questions at the end):
**Reproducing FB15K results**: I am using Windows10, pyto…
drcdr updated
4 years ago
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在论文中提到使用 OpenKE 在数据集 FB15K 上训练 TranseE 模型，只需要 266 秒（GPU，PyTorch）。而我使用 GitHub 的代码`train_transe_FB15K237.py`训练却需要一个小时。
训练环境：
CP…
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hello ,when i run the follow ,some question caused.
