graphtransformer | Source code | Machine Learning library

by graphdeeplearning Python Version: Current License: MIT

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

kandi X-RAY | graphtransformer Summary

graphtransformer is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Neural Network, Transformer applications. graphtransformer has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However graphtransformer build file is not available. You can download it from GitHub.

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

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Quality

Security

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Support

graphtransformer has a low active ecosystem.

It has 637 star(s) with 103 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 18 have been closed. On average issues are closed in 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of graphtransformer is current.

Quality

graphtransformer has no bugs reported.

Security

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

License

graphtransformer is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Forward attention
Propagate an attention layer
Return a function that computes an imp
Creates a function that returns the exponential exp
Add WL positional encoding
Linear encoding
Recursively make the full graph
Create a full graph from a networkx graph
Add self loops
Emit self - loop
Train a single epoch
Computes the MAE
Add Laplacian encodings
Compute the Laplacian of a graph
Train validation pipeline
Load data for a given dataset
Make the full graph
View the parameters of a model
Setup the device
Evaluate the network
Adds laplacian encodings

Get all kandi verified functions for this library.

graphtransformer Key Features

No Key Features are available at this moment for graphtransformer.

graphtransformer Examples and Code Snippets

No Code Snippets are available at this moment for graphtransformer.

Community Discussions

Trending Discussions on graphtransformer

Print ONNXRUNTIME::Graph without having Model

QUESTION

Print ONNXRUNTIME::Graph without having Model

Asked 2020-Feb-18 at 14:02

I'm working on new optimizer that inherits from GraphTransformer in c++

How can I view the changes that I made, just after ApplyImpl ends I tried graph.ToGraphProto() but I cannot save it And I need to make a new Model to be able to save it and view it in Netron or something

...

ANSWER

Answered 2020-Feb-18 at 14:02

Found it Need to make new model and versions need to get SchemaRegistry:

Source https://stackoverflow.com/questions/60260349

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

Vulnerabilities

No vulnerabilities reported

Install graphtransformer

This project is based on the benchmarking-gnns repository. Follow these instructions to install the benchmark and setup the environment.
Proceed as follows to download the datasets used to evaluate Graph Transformer.

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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