GNNLayer
GNNLux.GNNLayer
— Typeabstract type GNNLayer <: AbstractLuxLayer end
An abstract type from which graph neural network layers are derived. It is Derived from Lux's AbstractLuxLayer
type.
See also GNNChain
.
diff --git a/GNNLux/dev/.documenter-siteinfo.json b/GNNLux/dev/.documenter-siteinfo.json index a4ca7e0de..4822ffca0 100644 --- a/GNNLux/dev/.documenter-siteinfo.json +++ b/GNNLux/dev/.documenter-siteinfo.json @@ -1 +1 @@ -{"documenter":{"julia_version":"1.10.5","generation_timestamp":"2024-11-03T21:51:52","documenter_version":"1.7.0"}} \ No newline at end of file +{"documenter":{"julia_version":"1.10.5","generation_timestamp":"2024-11-03T22:01:44","documenter_version":"1.7.0"}} \ No newline at end of file diff --git a/GNNLux/dev/api/basic/index.html b/GNNLux/dev/api/basic/index.html index 839487673..7f4decb21 100644 --- a/GNNLux/dev/api/basic/index.html +++ b/GNNLux/dev/api/basic/index.html @@ -1,2 +1,2 @@ -
GNNLux.GNNLayer
— Typeabstract type GNNLayer <: AbstractLuxLayer end
An abstract type from which graph neural network layers are derived. It is Derived from Lux's AbstractLuxLayer
type.
See also GNNChain
.
Settings
This document was generated with Documenter.jl version 1.7.0 on Sunday 3 November 2024. Using Julia version 1.10.5.
GNNLux.GNNLayer
— Typeabstract type GNNLayer <: AbstractLuxLayer end
An abstract type from which graph neural network layers are derived. It is Derived from Lux's AbstractLuxLayer
type.
See also GNNChain
.
Settings
This document was generated with Documenter.jl version 1.7.0 on Sunday 3 November 2024. Using Julia version 1.10.5.
GNNLux.jl is a work-in-progress package that implements stateless graph convolutional layers, fully compatible with the Lux.jl machine learning framework. It is built on top of the GNNGraphs.jl, GNNlib.jl, and Lux.jl packages.
The full documentation will be available soon.
Settings
This document was generated with Documenter.jl version 1.7.0 on Sunday 3 November 2024. Using Julia version 1.10.5.
GNNLux.jl is a work-in-progress package that implements stateless graph convolutional layers, fully compatible with the Lux.jl machine learning framework. It is built on top of the GNNGraphs.jl, GNNlib.jl, and Lux.jl packages.
The full documentation will be available soon.
Settings
This document was generated with Documenter.jl version 1.7.0 on Sunday 3 November 2024. Using Julia version 1.10.5.