Comments (1)
Thank you so much for the comments.
Knowledge graph embedding is not the focus of our paper. For the TransE embedding, we directly use the implementation from https://github.com/ZichaoHuang/TransE. I cannot put "transE_emb.py" in this repo since the contribution should be credited to https://github.com/ZichaoHuang/TransE.
Yes, you are right. It is not an error match, but an inaccurate match. Our goal is to make the predicted entity representation as close as possible to the representation of the correct head entity. The goal is NOT to recover exactly the same representation, but a close one, so that the learned vector could be used as a pointer to lead us to the current head entity.
Thanks.
from keqa_wsdm19.
Related Issues (20)
- Issue with train_entity.py HOT 1
- train_entity.py 头实体表示学习模型训练精度只有63 HOT 26
- Prediction on a Custom Dataset HOT 4
- the data cannot be downloaded HOT 1
- TypeError: can’t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first HOT 6
- Problem in beginning the training
- FileNotFoundError: [Errno 2] No such file or directory: 'preprocess/dete_best_model.pt' HOT 3
- ValueError: cannot reshape array of size 161914250 into shape (647639,250) HOT 4
- The KG used in train_entity.py appears to be smaller HOT 1
- An Issue about the Statistics of FB2M and FB5M HOT 1
- Reproducability
- Test on FB2M HOT 1
- 请问这些文件我并没有在下载中找到这些preprocess/train.txt,preprocess/valid.txt文件,请问可以在哪里获得这些文件呢?谢谢
- 代码里面有这个实体的人工校正,是因为freebase的数据集的问题吗?或者是其他原因?求救~
- 老师您好,我最近在更换其他的数据集来实现这个代码。您可以将python3.6 transE_emb.py --learning_rate 0.003 --batch_size 3000 --eval_freq 50这个文件提供给我吗?
- Error : ImportError: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: version `GLIBCXX_3.4.26' not found (required by /Data/komal/anaconda3/envs/pyg/lib/python3.8/site-packages/scipy/linalg/_matfuncs_sqrtm_triu.cpython-38-x86_64-linux-gnu.so)
- IndexError: index out of range in self
- an error
- I have some confusions,Can you help me? HOT 2
- File Not Found Error.
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from keqa_wsdm19.