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To achieve geometric deep learning raised by Bronstein *et al*, 5G fields of deep learning models will be supported in GeometricFlux.jl. For details, you could check the [geometric deep learning official website](https://geometricdeeplearning.com/).
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5G including the following fields:
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5(+1)G including the following fields:
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***Graphs** and Sets
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* including classical GNN models and networks over sets.
@@ -87,3 +87,8 @@ To achieve geometric deep learning raised by Bronstein *et al*, 5G fields of dee
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* including a series of equivariant/invariant models.
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***Geodesics** and Manifolds
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***Gauges** and Bundles
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***Geometric algebra**
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## Discussions
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It's welcome to have direct discussions in #graphnet channel or in #flux-bridged channel on slack. For usage issues, it's welcome to post your minimal working examples (MWE) on [Julia discourse](https://discourse.julialang.org/) and then tag maintainer `@yuehhua`.
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