diff --git a/Project.toml b/Project.toml
index b23a29603..4785fe5dc 100644
--- a/Project.toml
+++ b/Project.toml
@@ -24,9 +24,11 @@ StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 
 [weakdeps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
+SimpleWeightedGraphs = "47aef6b3-ad0c-573a-a1e2-d07658019622"
 
 [extensions]
 GraphNeuralNetworksCUDAExt = "CUDA"
+GraphNeuralNetworksSimpleWeightedGraphsExt = "SimpleWeightedGraphs"
 
 [compat]
 Adapt = "3, 4"
@@ -45,6 +47,7 @@ NNlib = "0.9"
 NearestNeighbors = "0.4"
 Random = "1"
 Reexport = "1"
+SimpleWeightedGraphs = "1.4.0"
 SparseArrays = "1"
 Statistics = "1"
 StatsBase = "0.34"
@@ -59,9 +62,10 @@ DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 FiniteDifferences = "26cc04aa-876d-5657-8c51-4c34ba976000"
 InlineStrings = "842dd82b-1e85-43dc-bf29-5d0ee9dffc48"
 MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
+SimpleWeightedGraphs = "47aef6b3-ad0c-573a-a1e2-d07658019622"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
 
 [targets]
-test = ["Test", "Adapt", "DataFrames", "InlineStrings", "Zygote", "FiniteDifferences", "ChainRulesTestUtils", "MLDatasets", "CUDA", "cuDNN"]
+test = ["Test", "Adapt", "DataFrames", "InlineStrings", "SimpleWeightedGraphs", "Zygote", "FiniteDifferences", "ChainRulesTestUtils", "MLDatasets", "CUDA", "cuDNN"]
diff --git a/ext/GraphNeuralNetworksSimpleWeightedGraphsExt/GraphNeuralNetworksSimpleWeightedGraphsExt.jl b/ext/GraphNeuralNetworksSimpleWeightedGraphsExt/GraphNeuralNetworksSimpleWeightedGraphsExt.jl
new file mode 100644
index 000000000..aabc13443
--- /dev/null
+++ b/ext/GraphNeuralNetworksSimpleWeightedGraphsExt/GraphNeuralNetworksSimpleWeightedGraphsExt.jl
@@ -0,0 +1,12 @@
+module GraphNeuralNetworksSimpleWeightedGraphsExt
+
+using GraphNeuralNetworks
+using Graphs
+using SimpleWeightedGraphs
+
+function GraphNeuralNetworks.GNNGraph(g::T; kws...) where 
+                 {T <: Union{SimpleWeightedGraph, SimpleWeightedDiGraph}}
+   return GNNGraph(g.weights, kws...)
+end
+
+end #module
\ No newline at end of file
diff --git a/test/GNNGraphs/generate.jl b/test/GNNGraphs/generate.jl
index 675e3539e..d9f281fb2 100644
--- a/test/GNNGraphs/generate.jl
+++ b/test/GNNGraphs/generate.jl
@@ -119,4 +119,4 @@ end
     R = 10
     tg1 = rand_temporal_hyperbolic_graph(number_nodes, number_snapshots; α, R, speed, ζ)
     @test mean(mean(degree.(tg1.snapshots)))<=mean(mean(degree.(tg.snapshots)))
-end
\ No newline at end of file
+end
diff --git a/test/ext/GraphNeuralNetworksSimpleWeightedGraphsExt/GraphNeuralNetworksSimpleWeightedGraphsExt.jl b/test/ext/GraphNeuralNetworksSimpleWeightedGraphsExt/GraphNeuralNetworksSimpleWeightedGraphsExt.jl
new file mode 100644
index 000000000..254498999
--- /dev/null
+++ b/test/ext/GraphNeuralNetworksSimpleWeightedGraphsExt/GraphNeuralNetworksSimpleWeightedGraphsExt.jl
@@ -0,0 +1,11 @@
+@testset "simple_weighted_graph" begin
+    srcs = [1, 2, 1]
+    dsts = [2, 3, 3]
+    wts = [0.5, 0.8, 2.0]
+    g = SimpleWeightedGraph(srcs, dsts, wts)
+    gd = SimpleWeightedDiGraph(srcs, dsts, wts)
+    gnn_g = GNNGraph(g)
+    gnn_gd = GNNGraph(gd)
+    @test get_edge_weight(gnn_g)  == [0.5, 2, 0.5, 0.8, 2.0, 0.8] 
+    @test get_edge_weight(gnn_gd) == [0.5, 2, 0.8]
+end
diff --git a/test/runtests.jl b/test/runtests.jl
index 271373ecc..85e26ac38 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -15,6 +15,7 @@ using Zygote
 using Test
 using MLDatasets
 using InlineStrings  # not used but with the import we test #98 and #104
+using SimpleWeightedGraphs
 
 CUDA.allowscalar(false)
 
@@ -46,6 +47,7 @@ tests = [
     "mldatasets",
     "examples/node_classification_cora",
     "deprecations",
+    "ext/GraphNeuralNetworksSimpleWeightedGraphsExt/GraphNeuralNetworksSimpleWeightedGraphsExt"
 ]
 
 !CUDA.functional() && @warn("CUDA unavailable, not testing GPU support")