graphneuralnetworks jl

We have hosted the application graphneuralnetworks jl in order to run this application in our online workstations with Wine or directly.

Quick description about graphneuralnetworks jl:

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

Programming Language: Julia.
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