TF-GNN | TensorFlow Implementation of Graph Attention Network

by CrawlScript Python Version: Current License: GPL-3.0

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

kandi X-RAY | TF-GNN Summary

TF-GNN is a Python library typically used in User Interface, Tensorflow applications. TF-GNN has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However TF-GNN build file is not available. You can download it from GitHub.

TensorFlow Implementation of Graph Attention Network and Graph Convolutional Network

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Quality

Security

License

Reuse

Support

TF-GNN has a low active ecosystem.

It has 57 star(s) with 17 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 426 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TF-GNN is current.

Quality

TF-GNN has 0 bugs and 0 code smells.

Security

TF-GNN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

TF-GNN code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TF-GNN is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

TF-GNN releases are not available. You will need to build from source code and install.

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

TF-GNN saves you 322 person hours of effort in developing the same functionality from scratch.

It has 774 lines of code, 136 functions and 13 files.

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

Top functions reviewed by kandi - BETA

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

Trains the model
Compute the accuracy of each node
R Compute the covariance matrix
Creates a tensorflow tensor
Performs a random walk
Return a random neighbor
Returns a random node from a given node
Generate a random walk
Read docs txt file
Split a string into tokens
Get or create a token index
Sample a trie from the graph
Sample a node from the cache
Construct the adjacency matrix
Returns an Adj object
Read the labels txt file
Return the index of the given id
Splits the training and test sets
Return an indexer for a node type
Return node index
Compute the feature matrix
Return a label list or matrix
Get a node attribute value
Checks if the given attribute has the given attribute
Returns a list of random samples from the network
Read the structure

Get all kandi verified functions for this library.

TF-GNN Key Features

No Key Features are available at this moment for TF-GNN.

TF-GNN Examples and Code Snippets

No Code Snippets are available at this moment for TF-GNN.

Community Discussions

Trending Discussions on TF-GNN

How can I run a .py file with its options in Python console?

QUESTION

How can I run a .py file with its options in Python console?

Asked 2020-Feb-24 at 18:16

I am trying to run this GitHub project in python, but I could only run it using the Terminal of Pycharm IDE.

According to the guide from the GitHub repository, I removed the $ sign from the beginning of $ python train.py RGCN PPI and could run it there. What does $ mean here and how can I run a file like this in Python Console (for example after >>> sign)?

...

ANSWER

Answered 2020-Feb-24 at 18:16

The '$' isn't part of Python's syntax, it's a visual cue in the documentation representing the command prompt.

To answer the question from the title of this post, I'll provide some instructions first on how to load scripts into the Python console. However, for your specific case, you don't need this. Scroll down to the part about debugging in PyCharm.

There's two ways you can get your script into the console. One is to simply load it using the right version of the two lines I give right below, or you can load it as a module - even if it wasn't intended to be one.

In general, to execute a script in the Python shell on Python 2 you can do

Source https://stackoverflow.com/questions/60359375

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

Vulnerabilities

No vulnerabilities reported

Install TF-GNN

You can download it from GitHub.
You can use TF-GNN 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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