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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
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow GraphNeuralNetworks.jl
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