[GNNLux] Add A3TGCN temporal layer (#485)

* Export A3TGCN

* Add struct

* Add test A#TGCN

* Fix test

Author: aurorarossi

GNNLux/src/GNNLux.jl

@@ -41,6 +41,7 @@ export AGNNConv,
 
 include("layers/temporalconv.jl")
 export TGCN
+export A3TGCN
 
 end #module
 

GNNLux/src/layers/temporalconv.jl

@@ -56,4 +56,40 @@ function Base.show(io::IO, tgcn::TGCNCell)
     print(io, "TGCNCell($(tgcn.in_dims) => $(tgcn.out_dims))")
 end
 
-TGCN(ch::Pair{Int, Int}; kwargs...) = GNNLux.StatefulRecurrentCell(TGCNCell(ch; kwargs...))
+TGCN(ch::Pair{Int, Int}; kwargs...) = GNNLux.StatefulRecurrentCell(TGCNCell(ch; kwargs...))
+
+@concrete struct A3TGCN <: GNNContainerLayer{(:tgcn, :dense1, :dense2)}
+    in_dims::Int
+    out_dims::Int
+    tgcn
+    dense1
+    dense2
+end
+
+function A3TGCN(ch::Pair{Int, Int}; use_bias = true, init_weight = glorot_uniform, init_state = zeros32, init_bias = zeros32, add_self_loops = false, use_edge_weight = true) 
+    in_dims, out_dims = ch
+    tgcn = TGCN(ch; use_bias, init_weight, init_state, init_bias, add_self_loops, use_edge_weight)
+    dense1 = Dense(out_dims, out_dims)
+    dense2 = Dense(out_dims, out_dims)
+    return A3TGCN(in_dims, out_dims, tgcn, dense1, dense2)
+end
+
+function (l::A3TGCN)(g, x, ps, st)
+    dense1 = StatefulLuxLayer{true}(l.dense1, ps.dense1, _getstate(st, :dense1))
+    dense2 = StatefulLuxLayer{true}(l.dense2, ps.dense2, _getstate(st, :dense2))
+    h, st = l.tgcn(g, x, ps.tgcn, st.tgcn)
+    x = dense1(h)
+    x = dense2(x)
+    a = NNlib.softmax(x, dims = 3)
+    c = sum(a .* h , dims = 3)
+    if length(size(c)) == 3
+        c = dropdims(c, dims = 3)
+    end
+    return c, st
+end
+
+LuxCore.outputsize(l::A3TGCN) = (l.out_dims,)
+
+function Base.show(io::IO, l::A3TGCN)
+    print(io, "A3TGCN($(l.in_dims) => $(l.out_dims))")
+end

GNNLux/test/layers/temporalconv_test.jl

@@ -2,7 +2,7 @@
     using LuxTestUtils: test_gradients, AutoReverseDiff, AutoTracker, AutoForwardDiff, AutoEnzyme
 
     rng = StableRNG(1234)
-    g = rand_graph(10, 40, seed=1234)
+    g = rand_graph(rng, 10, 40)
     x = randn(rng, Float32, 3, 10)
 
     @testset "TGCN" begin
@@ -12,4 +12,12 @@
         loss = (x, ps) -> sum(first(l(g, x, ps, st)))
         test_gradients(loss, x, ps; atol=1.0f-2, rtol=1.0f-2, skip_backends=[AutoReverseDiff(), AutoTracker(), AutoForwardDiff(), AutoEnzyme()])
     end
+
+    @testset "A3TGCN" begin
+        l = A3TGCN(3=>3)
+        ps = LuxCore.initialparameters(rng, l)
+        st = LuxCore.initialstates(rng, l)
+        loss = (x, ps) -> sum(first(l(g, x, ps, st)))
+        test_gradients(loss, x, ps; atol=1.0f-2, rtol=1.0f-2, skip_backends=[AutoReverseDiff(), AutoTracker(), AutoForwardDiff(), AutoEnzyme()])
+    end
 end