RALE | Absolute Location Embedding for Few-Shot Node Classification

by shuaiOKshuai Python Version: Current License: No License

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

kandi X-RAY | RALE Summary

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

Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph

Support

Quality

Security

License

Reuse

Support

RALE has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

RALE has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RALE is current.

Quality

RALE has no bugs reported.

Security

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

License

RALE 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

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

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

Make a tensorflow data tensorflow data tensorflow .
Prepare a list of subpaths to node pairs .
Prepares subpats for each node .
Main function for maml .
Builds a query .
Train the model .
Reads the subpaths and saves them in a file .
Prepare random walk and subpaths .
Processes sparse sparse sparse sparse sparse matrix .
Reads nodes from a file .

Get all kandi verified functions for this library.

RALE Key Features

No Key Features are available at this moment for RALE.

RALE Examples and Code Snippets

No Code Snippets are available at this moment for RALE.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install RALE

You can download it from GitHub.
You can use RALE 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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