KGAT | Tensorflow implementation of Graph Attention Neural Network | Graph Database library

by EthanPhan Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | KGAT Summary

KGAT is a Python library typically used in Telecommunications, Media, Advertising, Marketing, Database, Graph Database, Deep Learning, Tensorflow applications. KGAT has no bugs, it has no vulnerabilities and it has low support. However KGAT build file is not available. You can download it from GitHub.

Tensorflow implementation of Graph Attention Neural Network for Knowledge Graph

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Quality

Security

License

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Support

KGAT has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 188 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of KGAT is current.

Quality

KGAT has 0 bugs and 0 code smells.

Security

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

KGAT code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

KGAT 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

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

KGAT 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.

It has 1404 lines of code, 64 functions and 10 files.

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

Top functions reviewed by kandi - BETA

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

Load relation data
Build the neural network
Parse a single line from a line
Read relation2id
Read entity ID from file
Evaluate the convolution objective function
Calculate the prediction
Perform a batch test of the final entity
Train the convolution model
Returns a batch of training data
Save a trained model
Train the GAT layer
Generate a batch of nhop neighbors
Calculate GAT loss
Get the neighbors of the graph
BFS breadth - first search
Parse command line arguments
Get train_marked_marked_marks

Get all kandi verified functions for this library.

KGAT Key Features

No Key Features are available at this moment for KGAT.

KGAT Examples and Code Snippets

No Code Snippets are available at this moment for KGAT.

Community Discussions

Trending Discussions on KGAT

Incorrect path using encoded polyline from Google Directions API in Static Maps

QUESTION

Incorrect path using encoded polyline from Google Directions API in Static Maps

Asked 2018-Nov-28 at 07:49

I'm trying to use an encoded polyline from Google's Direction API and display it in a Google Static Map image. When I use the encoded polyline in the Static Map the path is displayed incorrectly - it starts in the correct place, and has the correct general path, but is skewed from the expected results.

As an example, I've made a request for rail directions from Bern to Zurich Airport. The API returns the following encoded polyline:

...

ANSWER

Answered 2017-Sep-24 at 11:23

The encoded polyline that you use in your example contains \\ symbols, I understand Google Maps JavaScript API escapes the \ backslash symbols. Before passing an encoded polyline to Static Maps API you should replace escaped backslashes with simple backslashes.

You request will be:

Source https://stackoverflow.com/questions/46388308

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

Vulnerabilities

No vulnerabilities reported

Install KGAT

You can download it from GitHub.
You can use KGAT 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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