KG_Embedding | 将KG中的实体和关系Embedding一下
kandi X-RAY | KG_Embedding Summary
kandi X-RAY | KG_Embedding Summary
KG_Embedding is a Python library. KG_Embedding has no bugs, it has no vulnerabilities and it has low support. However KG_Embedding build file is not available. You can download it from GitHub.
将KG中的实体和关系Embedding一下
将KG中的实体和关系Embedding一下
Support
Quality
Security
License
Reuse
Support
KG_Embedding has a low active ecosystem.
It has 7 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
KG_Embedding has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of KG_Embedding is current.
Quality
KG_Embedding has no bugs reported.
Security
KG_Embedding has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
KG_Embedding does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
KG_Embedding releases are not available. You will need to build from source code and install.
KG_Embedding has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed KG_Embedding and discovered the below as its top functions. This is intended to give you an instant insight into KG_Embedding implemented functionality, and help decide if they suit your requirements.
- Train model
- Load a batch
- Corrupts the entire batch
- Calculate the norm of embedding
- Return the margin loss between pos and neg
- Convert KG to KG index
- Pruge data
- Forward projection
- R Calculate the projection of the vector
- Count the number of items
- Split train validation set
Get all kandi verified functions for this library.
KG_Embedding Key Features
No Key Features are available at this moment for KG_Embedding.
KG_Embedding Examples and Code Snippets
No Code Snippets are available at this moment for KG_Embedding.
Community Discussions
No Community Discussions are available at this moment for KG_Embedding.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install KG_Embedding
You can download it from GitHub.
You can use KG_Embedding like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use KG_Embedding like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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