GraphNeuralNetworks.jl download

GraphNeuralNetworks.jl is a graph neural network library written in Julia and based on the deep learning framework Flux.jl.

Features

Implements common graph convolutional layers
Supports computations on batched graphs
Easy to define custom layers
Examples of node, edge, and graph level machine learning tasks
Heterogeneous and temporal graphs
CUDA support

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License

MIT License

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Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-11-22

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GraphNeuralNetworks.jl

Graph Neural Networks in Julia

Features

Project Samples

Project Activity

Categories

License

Follow GraphNeuralNetworks.jl

User Reviews

Additional Project Details

Programming Language

Related Categories

Registered