jimmywangheng / knowledge_representation_pytorch Goto Github PK

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？？

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

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 in validation? Thank you :)

（1）你好，运行你的代码报 [Errno 111] 。我是新建data文件夹，然后把FB15K文件夹拷贝过去。运行指令为：transE_pytorch.py -d FB15k -np 1 。我看了你的transE配置参数没看到相关HTTPConnection。升级了requests包也没用；

（2）错误提示行：trainCurve = agent.register(trainHyperparameters, 'train loss', overwrite=True)
r = requests.get(url, auth = self.auth, data = data)；

（3）错误内容：requests.exceptions.ConnectionError: HTTPConnectionPool(host='127.0.0.1', port=5000): Max retries exceeded with url: /register (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fdf7c5909b0>: Failed to establish a new connection: [Errno 111] Connection refused',))。

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

您好，我能问一下关于transE中的normloss是用来干嘛的，我看原文中好像没有这个

推荐用 tensorboardX，贼好用，[手动滑稽]

one to one，one to many这些是分别代表啥实际含义啊？

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！

Traceback (most recent call last):
File "transE_pytorch.py", line 255, in
agent.append(trainCurve, epoch, total_loss[0])
File "/home/shan/venv/lib/python3.5/site-packages/hyperboard/agent.py", line 45, in append
value = value,
File "/usr/lib/python3.5/json/init.py", line 230, in dumps
return _default_encoder.encode(obj)
File "/usr/lib/python3.5/json/encoder.py", line 198, in encode
chunks = self.iterencode(o, _one_shot=True)
File "/usr/lib/python3.5/json/encoder.py", line 256, in iterencode
return _iterencode(o, 0)
File "/usr/lib/python3.5/json/encoder.py", line 179, in default
raise TypeError(repr(o) + " is not JSON serializable")
TypeError: tensor(253923.8438, device='cuda:0') is not JSON serializable

agent 报错，请问你用的 pyTorch 和 hyperboard 版本是多少呢？

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 "transE_pytorch.py", it didn't generate any file like './transE_%s_%s_best.pkl'. May I know how I could generate './transE_%s_%s_best.pkl'?

Thank you and best regards.
Jianing

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！