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6 changes: 3 additions & 3 deletions GNNLux/docs/make.jl
Original file line number Diff line number Diff line change
Expand Up @@ -21,12 +21,12 @@ makedocs(;
format = Documenter.HTML(; mathengine, prettyurls, assets = assets, size_threshold=nothing),
sitename = "GNNLux.jl",
pages = ["Home" => "index.md",
"Basic" => "api/basic.md"],
"API Reference" => [
"Basic" => "api/basic.md",
"Convolutional layers" => "api/conv.md"]]
)




deploydocs(;repo = "github.com/JuliaGraphs/GraphNeuralNetworks.jl.git",
devbranch = "master",
push_preview = true,
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18 changes: 17 additions & 1 deletion GNNLux/docs/src/api/conv.md
Original file line number Diff line number Diff line change
Expand Up @@ -15,8 +15,24 @@ The table below lists all graph convolutional layers implemented in the *GNNLux.
- *TemporalSnapshotsGNNGraphs*: supports temporal graphs (see [`TemporalSnapshotsGNNGraph`](@ref)) by applying the convolution layers to each snapshot independently.

| Layer |Sparse Ops|Edge Weight|Edge Features| Heterograph | TemporalSnapshotsGNNGraphs |
| :-------- | :---: |:---: |:---: | :---: | :---: | ✓ |
| :-------- | :---: |:---: |:---: | :---: | :---: |
| [`AGNNConv`](@ref) | | | ✓ | | |
| [`CGConv`](@ref) | | | ✓ | ✓ | ✓ |
| [`ChebConv`](@ref) | | | | | ✓ |
| [`EGNNConv`](@ref) | | | ✓ | | |
| [`EdgeConv`](@ref) | | | | ✓ | |
| [`GATConv`](@ref) | | | ✓ | ✓ | ✓ |
| [`GATv2Conv`](@ref) | | | ✓ | ✓ | ✓ |
| [`GatedGraphConv`](@ref) | ✓ | | | | ✓ |
| [`GCNConv`](@ref) | ✓ | ✓ | | ✓ | |
| [`GINConv`](@ref) | ✓ | | | ✓ | ✓ |
| [`GMMConv`](@ref) | | | ✓ | | |
| [`GraphConv`](@ref) | ✓ | | | ✓ | ✓ |
| [`MEGNetConv`](@ref) | | | ✓ | | |
| [`NNConv`](@ref) | | | ✓ | | |
| [`ResGatedGraphConv`](@ref) | | | | ✓ | ✓ |
| [`SAGEConv`](@ref) | ✓ | | | ✓ | ✓ |
| [`SGConv`](@ref) | ✓ | | | | ✓ |

## Docs

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