FGNN | An implementation of FGNN

by RuihongQiu Python Version: Current License: No License

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

kandi X-RAY | FGNN Summary

FGNN is a Python library. FGNN has no bugs, it has no vulnerabilities and it has low support. However FGNN build file is not available. You can download it from GitHub.

An implementation of FGNN. If you find this helpful, please cite our paper.

Support

Quality

Security

License

Reuse

Support

FGNN has a low active ecosystem.

It has 26 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 1 have been closed. On average issues are closed in 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FGNN is current.

Quality

FGNN has 0 bugs and 0 code smells.

Security

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

FGNN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FGNN 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

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

FGNN has no build file. You will be need to create the build yourself to build the component from source.

It has 320 lines of code, 22 functions and 6 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed FGNN and discovered the below as its top functions. This is intended to give you an instant insight into FGNN implemented functionality, and help decide if they suit your requirements.

Process a pickled file .
Runs the main function .
Perform the forward computation .
Initialize the TATConv .
Compute the attention layer .
Reset weights .
List of file names .

Get all kandi verified functions for this library.

FGNN Key Features

No Key Features are available at this moment for FGNN.

FGNN Examples and Code Snippets

No Code Snippets are available at this moment for FGNN.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install FGNN

You can download it from GitHub.
You can use FGNN 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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