Fix docstrings

JuliaGraphs · Sep 20, 2024 · 987bf8d · 987bf8d
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diff --git a/GNNGraphs/src/gnngraph.jl b/GNNGraphs/src/gnngraph.jl
@@ -66,7 +66,7 @@ functionality from that library.
 # Examples
 
 ```julia
-using GraphNeuralNetworks
+using GNNGraphs, Graphs
 
 # Construct from adjacency list representation
 data = [[2,3], [1,4,5], [1], [2,5], [2,4]]

diff --git a/GNNGraphs/src/gnnheterograph.jl b/GNNGraphs/src/gnnheterograph.jl
@@ -37,7 +37,7 @@ It is similar to [`GNNGraph`](@ref) but nodes and edges are of different types.
 # Examples
 
 ```julia
-julia> using GraphNeuralNetworks
+julia> using GNNGraphs
 
 julia> nA, nB = 10, 20;
 

diff --git a/GNNGraphs/src/mldatasets.jl b/GNNGraphs/src/mldatasets.jl
@@ -8,7 +8,7 @@ Convert a graph dataset from the package MLDatasets.jl into one or many [`GNNGra
 # Examples
 
 ```julia
-julia> using MLDatasets, GraphNeuralNetworks
+julia> using MLDatasets, GNNGraphs
 
 julia> mldataset2gnngraph(Cora())
 GNNGraph:

diff --git a/GNNGraphs/src/temporalsnapshotsgnngraph.jl b/GNNGraphs/src/temporalsnapshotsgnngraph.jl
@@ -14,7 +14,7 @@ The features can be passed at construction time or added later.
 # Examples
 
 ```julia
-julia> using GraphNeuralNetworks
+julia> using GNNGraphs
 
 julia> snapshots = [rand_graph(10,20) for i in 1:5];
 
@@ -78,7 +78,7 @@ Return a `TemporalSnapshotsGNNGraph` created starting from `tg` by adding the sn
 # Examples
 
 ```jldoctest
-julia> using GraphNeuralNetworks
+julia> using GNNGraphs
 
 julia> snapshots = [rand_graph(10, 20) for i in 1:5];
 
@@ -138,7 +138,7 @@ Return a [`TemporalSnapshotsGNNGraph`](@ref) created starting from `tg` by remov
 # Examples
 
 ```jldoctest
-julia> using GraphNeuralNetworks
+julia> using GNNGraphs
 
 julia> snapshots = [rand_graph(10,20), rand_graph(10,14), rand_graph(10,22)];
 

diff --git a/GNNGraphs/src/transform.jl b/GNNGraphs/src/transform.jl
@@ -170,7 +170,7 @@ A new GNNGraph with the specified edges removed.
 
 # Example
 ```julia
-julia> using GraphNeuralNetworks
+julia> using GNNGraphs
 
 # Construct a GNNGraph
 julia> g = GNNGraph([1, 1, 2, 2, 3], [2, 3, 1, 3, 1])
@@ -275,7 +275,7 @@ A new GNNGraph with the specified nodes and all edges associated with these node
 
 # Example
 ```julia
-using GraphNeuralNetworks
+using GNNGraphs
 
 g = GNNGraph([1, 1, 2, 2, 3], [2, 3, 1, 3, 1])