remove literate

Author: CarloLucibello

GraphNeuralNetworks/docs/Project.toml

@@ -1,8 +1,10 @@
 [deps]
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
 CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
+DemoCards = "311a05b2-6137-4a5a-b473-18580a3d38b5"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 DocumenterInterLinks = "d12716ef-a0f6-4df4-a9f1-a5a34e75c656"
+FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
 Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
 GNNGraphs = "aed8fd31-079b-4b5a-b342-a13352159b8c"
 GNNlib = "a6a84749-d869-43f8-aacc-be26a1996e48"
@@ -14,8 +16,6 @@ Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
 MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
 MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
-PlutoStaticHTML = "359b1769-a58e-495b-9770-312e911026ad"
-PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"

GraphNeuralNetworks/docs/make.jl

@@ -8,6 +8,7 @@ Pkg.develop([
 Pkg.instantiate()
 
 using Documenter
+using DemoCards: DemoCards
 using GraphNeuralNetworks
 using Flux, GNNGraphs, GNNlib, Graphs
 using DocumenterInterLinks
@@ -39,14 +40,25 @@ cp(joinpath(@__DIR__, "../../GNNGraphs/docs/src"),
 cp(joinpath(@__DIR__, "../../GNNlib/docs/src"),
    joinpath(@__DIR__, "src/GNNlib"), force=true)
 
+
+
+tutorials, tutorials_postprocess_cb, tutorials_assets = DemoCards.makedemos(joinpath(@__DIR__, "tutorials"))
+
+## UNCOMMENT TO DISABLE TUTORIALS AND SPEED UP DOCS BUILDING
+# tutorials, tutorials_postprocess_cb, tutorials_assets = [], _ -> nothing, nothing
+
+assets = []
+isnothing(tutorials_assets) || push!(assets, tutorials_assets)
+
 makedocs(;
     modules = [GraphNeuralNetworks, GNNGraphs, GNNlib],
     plugins = [interlinks],
     format = Documenter.HTML(; mathengine, 
                             prettyurls = get(ENV, "CI", nothing) == "true", 
-                            assets = [],
+                            assets,
                             size_threshold=nothing, 
-                            size_threshold_warn=2000000),
+                            size_threshold_warn=2000000,
+                            example_size_threshold=2000000),
     sitename = "GraphNeuralNetworks.jl",
     pages = [
 
@@ -58,26 +70,26 @@ makedocs(;
             "Models" => "guides/models.md",
             "Datasets" => "GNNGraphs/guides/datasets.md",
             "Heterogeneous Graphs" => "GNNGraphs/guides/heterograph.md",
-            "Temporal Graphs" => "GNNGraphs/guides/temporalgraph.md",
-        ],
-
-        "Tutorials" => [
-            "Introductory tutorials" => [
-                "Hands on" => "tutorials/gnn_intro.md",
-                "Node classification" => "tutorials/node_classification.md", 
-                "Graph classification" => "tutorials/graph_classification.md"
-                ],
-            "Temporal graph neural networks" =>[
-                "Node autoregression" => "tutorials/traffic_prediction.md",
-                "Temporal graph classification" => "tutorials/temporal_graph_classification.md"
-            ],
+            # "Temporal Graphs" => "GNNGraphs/guides/temporalgraph.md",
         ],
+        tutorials,
+        # "Tutorials" => [
+        #     "Introductory tutorials" => [
+        #         "Hands on" => "tutorials/beginner_tutorials/gnn_intro.md",
+        #         "Node classification" => "tutorials/beginner_tutorials/node_classification.md", 
+        #         "Graph classification" => "tutorials/beginner_tutorials/graph_classification.md"
+        #         ],
+            # "Temporal graph neural networks" =>[
+            #     "Node autoregression" => "tutorials/traffic_prediction.md",
+            #     "Temporal graph classification" => "tutorials/temporal_graph_classification.md"
+            # ],
+        # ],
 
         "API Reference" => [
             "Graphs (GNNGraphs.jl)" => [
                 "GNNGraph" => "GNNGraphs/api/gnngraph.md",
                 "GNNHeteroGraph" => "GNNGraphs/api/heterograph.md",
-                "TemporalSnapshotsGNNGraph" => "GNNGraphs/api/temporalgraph.md",
+                # "TemporalSnapshotsGNNGraph" => "GNNGraphs/api/temporalgraph.md",
                 "Datasets" => "GNNGraphs/api/datasets.md",
             ]
 
@@ -90,7 +102,7 @@ makedocs(;
                 "Basic layers" => "api/basic.md",
                 "Convolutional layers" => "api/conv.md",
                 "Pooling layers" => "api/pool.md",
-                "Temporal Convolutional layers" => "api/temporalconv.md",
+                # "Temporal Convolutional layers" => "api/temporalconv.md",
                 "Hetero Convolutional layers" => "api/heteroconv.md",
             ]
         ],
@@ -99,6 +111,7 @@ makedocs(;
     ],
 )
 
+tutorials_postprocess_cb()
 rm(joinpath(@__DIR__, "src/GNNGraphs"), force=true, recursive=true)
 rm(joinpath(@__DIR__, "src/GNNlib"), force=true, recursive=true)