FluxML/GeometricFlux.jl
Geometric Deep Learning for Flux
This library helps Julia developers build and train deep learning models on graph-structured data. You provide your graph data, which could be anything from social networks to molecular structures, along with associated features, and the library outputs a trained graph neural network model. It's for machine learning engineers and data scientists who need to perform tasks like node classification, link prediction, or graph classification using specialized deep learning techniques.
355 stars. No commits in the last 6 months.
Use this if you are a Julia developer working with graph-structured data and need to build sophisticated deep learning models that can learn from the relationships and features within your graphs.
Not ideal if you are not a Julia developer or if your data is not inherently graph-based, as it's specifically designed for geometric deep learning applications.
Stars
355
Forks
29
Language
Julia
License
MIT
Category
Last pushed
Oct 29, 2023
Commits (30d)
0
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