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GNNLux/docs/src/api/conv.md

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@@ -15,8 +15,24 @@ The table below lists all graph convolutional layers implemented in the *GNNLux.
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- *TemporalSnapshotsGNNGraphs*: supports temporal graphs (see [`TemporalSnapshotsGNNGraph`](@ref)) by applying the convolution layers to each snapshot independently.
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| Layer |Sparse Ops|Edge Weight|Edge Features| Heterograph | TemporalSnapshotsGNNGraphs |
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| :-------- | :---: |:---: |:---: | :---: | :---: ||
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| :-------- | :---: |:---: |:---: | :---: | :---: |
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| [`AGNNConv`](@ref) | | || | |
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| [`CGConv`](@ref) | | ||||
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| [`ChebConv`](@ref) | | | | ||
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| [`EGNNConv`](@ref) | | || | |
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| [`EdgeConv`](@ref) | | | || |
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| [`GATConv`](@ref) | | ||||
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| [`GATv2Conv`](@ref) | | ||||
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| [`GatedGraphConv`](@ref) || | | ||
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| [`GCNConv`](@ref) ||| || |
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| [`GINConv`](@ref) || | |||
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| [`GMMConv`](@ref) | | || | |
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| [`GraphConv`](@ref) || | |||
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| [`MEGNetConv`](@ref) | | || | |
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| [`NNConv`](@ref) | | || | |
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| [`ResGatedGraphConv`](@ref) | | | |||
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| [`SAGEConv`](@ref) || | |||
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| [`SGConv`](@ref) || | | ||
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## Docs
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