SSGRL | Learning Semantic-Specific Graph Representation

by HCPLab-SYSU Python Version: Current License: No License

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

kandi X-RAY | SSGRL Summary

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

Implementation of the paper: "Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition" (ICCV 2019) by Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, Liang Lin.

Support

Quality

Security

License

Reuse

Support

SSGRL has a low active ecosystem.

It has 146 star(s) with 30 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 15 open issues and 5 have been closed. On average issues are closed in 14 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of SSGRL is current.

Quality

SSGRL has 0 bugs and 0 code smells.

Security

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

SSGRL code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

SSGRL 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

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

SSGRL 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.

SSGRL saves you 335 person hours of effort in developing the same functionality from scratch.

It has 802 lines of code, 53 functions and 16 files.

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

Top functions reviewed by kandi - BETA

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

Calculate the TAP algorithm for each class
Calculate the area of the vocab

Get all kandi verified functions for this library.

SSGRL Key Features

No Key Features are available at this moment for SSGRL.

SSGRL Examples and Code Snippets

No Code Snippets are available at this moment for SSGRL.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install SSGRL

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