GraphSAGE | directory contains code necessary to run the GraphSage

by thanhdtran Python Version: Current License: Non-SPDX

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

kandi X-RAY | GraphSAGE Summary

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

This directory contains code necessary to run the GraphSage algorithm. GraphSage can be viewed as a stochastic generalization of graph convolutions, and it is especially useful for massive, dynamic graphs that contain rich feature information. See our paper for details on the algorithm.

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Support

GraphSAGE 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.

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

It has a neutral sentiment in the developer community.

The latest version of GraphSAGE is current.

Quality

GraphSAGE has no bugs reported.

Security

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

License

GraphSAGE has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

Train the graph .
Initialize the aggregator .
Load data from a JSON file .
Saves the value embedding for the model .
Build the model .
Connects the graph .
Calculate the loss .
Construct the adjacency matrix .
Run regression on the embedding .
Run random walk .

Get all kandi verified functions for this library.

GraphSAGE Key Features

No Key Features are available at this moment for GraphSAGE.

GraphSAGE Examples and Code Snippets

No Code Snippets are available at this moment for GraphSAGE.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install GraphSAGE

You can download it from GitHub.
You can use GraphSAGE 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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