CENET | Temporal Knowledge Graph Reasoning with Historical

by xyjigsaw Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | CENET Summary

CENET is a Python library. CENET has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This is the official code base of the paper.

Support

Quality

Security

License

Reuse

Support

CENET has a low active ecosystem.

It has 35 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 6 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CENET is current.

Quality

CENET has no bugs reported.

Security

CENET has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CENET is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

CENET releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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CENET Key Features

No Key Features are available at this moment for CENET.

CENET Examples and Code Snippets

No Code Snippets are available at this moment for CENET.

Community Discussions

No Community Discussions are available at this moment for CENET.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install CENET

You can download it from GitHub.
You can use CENET 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 .

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