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Several knowledge graph representation algorithms implemented with pytorch

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Is there any way to learn embeddings for entities which are not present in the dataset on which it is trained ?

只在初始化里normalize了吧?? 原paper的伪代码意思是每次loop都得normalize吧??

Hi, what is the best performance (hits@10, mean rank) for each model in your experiments? Could you please share the results and settings?

datasets中的fb13和wn11都有对应的负例,求问如何得到fb15k和wn18对应的负例数据集合呢,非常感谢!

I noticed that you used `testList = random.choices(testList, k=k)` to randomly select validation examples. Does it mean the validation set is different every time and you just used one batch...

Hi, I met a problem when I tried the code "transR_pytorch.py" to run the demo data. The error messenge showed: No such file: './transE_%s_%s_best.pkl'. But, when I ran the script...

你好,代码里不包括这个预训练的模型吗,请问从哪里下载?

刚开始学习知识图谱的小白,希望得到解释!

运行[python transH_pytorch.py -d FB15k]报错: FileNotFoundError: [Errno 2] No such file or directory: './model/FB15k/l_0.001_es_0_L_1_em_100_nb_100_n_1000_m_1.0_f_1_mo_0.9_s_0_op_1_lo_0_TransH.ckpt' 请问是否少上传了什么文件 还是什么问题