Hongwei Wang

@bifeng Hi! I'm afraid I can't help much since I'm not working on the area of entity linking. I suggest searching "entity linking survey" in Google Scholar and that might...

@1140325971 你好，这是正常的，因为我们设置了一个词频的阈值，高于这个阈值的词才会被考虑。谢谢！

Hi! This is kind of weird because the default batch size is not that large. Reducing the batch size might help.

您好，请输出model.py里面的self.score_normalized。谢谢！

您好，第一个film表示这条triple的领域是film，第二个writer和第三个film表示head和tail分别是writer和film。谢谢！

您好，这些关系并不是双向的，您可以详细描述一下您的问题吗？

您好，这些关系不是我定义的，是从知识图谱里提取出来的。谢谢！

I tried on my computer just now and the code seems working well. Here is the result:  I found that the code can hardly reproduce the reported result on...

That table is from the ealier version of the paper. We have found mistakes when pre-processing the book-crossing dataset and re-run the experiments for RippleNet and all baselines. The correct...

I ran the code for 5 times just now, and here are the results:      There is indeed a chance that the model get stuck in...