port tutorials from Literate to plain Documenter

.gitignore

@@ -18,5 +18,6 @@ GraphNeuralNetworks/docs/build
 GraphNeuralNetworks/docs/src/GNNGraphs
 GraphNeuralNetworks/docs/src/GNNlib
 tutorials/docs/build
+docs/src/tutorials # generated by DemoCards from docs/tutorials/
 prova.jl
 pyg.ipynb

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)
 
+
+## DEMO CARDS AUTOMATICALLY DETECTS TUTORIALS FROM FOLDER STRUCTURE
+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 = 
+    # "Tutorials" => "index.md", () -> 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 = [
 
@@ -60,19 +72,7 @@ makedocs(;
             "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"
-            ],
-        ],
-
+        tutorials,
         "API Reference" => [
             "Graphs (GNNGraphs.jl)" => [
                 "GNNGraph" => "GNNGraphs/api/gnngraph.md",
@@ -99,6 +99,7 @@ makedocs(;
     ],
 )
 
+tutorials_postprocess_cb()
 rm(joinpath(@__DIR__, "src/GNNGraphs"), force=true, recursive=true)
 rm(joinpath(@__DIR__, "src/GNNlib"), force=true, recursive=true)
 

GraphNeuralNetworks/docs/src/democards/gridtheme.css

@@ -0,0 +1,59 @@
+.grid-card-section {
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  align-content: space-between;
+}
+
+.grid-card:hover{
+  box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.4), 0 6px 20px 0 rgba(0, 0, 0, 0.1);
+}
+
+.grid-card {
+    width: 210px;
+    max-height: 400px;
+    margin: 10px 15px;
+    box-shadow: 0 4px 8px 0 rgba(0,0,0,0.2);
+    transition: 0.3s;
+    border-radius: 5px;
+}
+
+.grid-card-text {
+    padding: 0 15px;
+}
+
+.grid-card-cover img {
+    width: 100%;
+}
+
+.grid-card-cover {
+    width: 200px;
+    height: 220px;
+    padding: 5px;
+    box-shadow: 0 2px 4px 0 rgba(0, 0, 0, 0.2);
+    transition: 0.3s;
+    border-radius: 5px;
+    display:block;
+    margin:auto;
+}
+
+.grid-card-cover .grid-card-description {
+    opacity: 0;
+    z-index: -1;
+    position: absolute;
+    top: 25%;
+    left: 140%;
+    width: 100%;
+    transform: translate(-50%, -50%);
+    padding: 10px;
+    border-radius: 5px;
+    background: rgba(0, 0, 0, 0.8);
+    color: #fff;
+    text-align: center;
+    font-size: 14px;
+}
+
+.grid-card-cover:hover .grid-card-description{
+    z-index: 3;
+    opacity: 1;
+}