From 9f9f800533b5af0f9006b53fe1164d8b2c2b3711 Mon Sep 17 00:00:00 2001 From: "Documenter.jl" Date: Sun, 3 Nov 2024 22:42:57 +0000 Subject: [PATCH] build based on e48637e --- GNNLux/dev/.documenter-siteinfo.json | 2 +- GNNLux/dev/api/basic/index.html | 2 +- GNNLux/dev/index.html | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/GNNLux/dev/.documenter-siteinfo.json b/GNNLux/dev/.documenter-siteinfo.json index 10c9987f3..40d79e53d 100644 --- a/GNNLux/dev/.documenter-siteinfo.json +++ b/GNNLux/dev/.documenter-siteinfo.json @@ -1 +1 @@ -{"documenter":{"julia_version":"1.10.5","generation_timestamp":"2024-11-03T22:15:08","documenter_version":"1.7.0"}} \ No newline at end of file +{"documenter":{"julia_version":"1.10.5","generation_timestamp":"2024-11-03T22:42:49","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 223ce9705..70095def8 100644 --- a/GNNLux/dev/api/basic/index.html +++ b/GNNLux/dev/api/basic/index.html @@ -1,2 +1,2 @@ -Basic · GNNLux.jl

GNNLayer

GNNLux.GNNLayerType
abstract 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.

source
+Basic · GNNLux.jl

GNNLayer

GNNLux.GNNLayerType
abstract 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.

source
diff --git a/GNNLux/dev/index.html b/GNNLux/dev/index.html index 2baf5cb2c..4d865ba84 100644 --- a/GNNLux/dev/index.html +++ b/GNNLux/dev/index.html @@ -1,2 +1,2 @@ -Home · GNNLux.jl

GNNLux.jl

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.

+Home · GNNLux.jl

GNNLux.jl

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.