JuliaGraphs / GraphNeuralNetworks.jl
Graph Neural Networks in Julia
Why this job: says: neural networks; topics: deep-learning, machine-learning
What it does
- Implementation of common graph convolutional layers.
- Computation on batched graphs.
- Custom layer definitions.
- Support for CUDA and AMDGPU.
- Integration with Graphs.jl.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 312
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- GNNlib-v1.4.1
- Released 8 days ago
- Built with
- Julia
- 75% of the code
Is it looked after?
- Contributors
- 6
- Last 90 days
- Issues
- 78% closed
- 54 still open
- Pull requests
- 411 merged
- 12 waiting
- Releases
- 82
- 14 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Julia 75%
- Jupyter Notebook 25%
Topics
- machine-learning
- julia
- graph-neural-networks
- deep-learning
- graphs
Project record
- JobAI libraries and models
- StatusListed
- Commits883
- Forks76
- Watching7
- Stars in 28 days+3
- CreatedAug 30, 2021
- First seen by usNov 7, 2026
- CheckedNov 12, 2026