Revert unrelated changes, make coherent PR on binarize() and nothing else

Author: dferre97

GNNlib/ext/GNNlibCUDAExt.jl

@@ -7,6 +7,14 @@ using GNNGraphs: GNNGraph, COO_T, SPARSE_T
 
 ###### PROPAGATE SPECIALIZATIONS ####################
 
+## COPY_XJ 
+
+## avoid the fast path on gpu until we have better cuda support
+function GNNlib.propagate(::typeof(copy_xj), g::GNNGraph{<:Union{COO_T, SPARSE_T}}, ::typeof(+),
+        xi, xj::AnyCuMatrix, e)
+    propagate((xi, xj, e) -> copy_xj(xi, xj, e), g, +, xi, xj, e)
+end
+
 ## E_MUL_XJ 
 
 ## avoid the fast path on gpu until we have better cuda support

GNNlib/src/msgpass.jl

@@ -213,8 +213,7 @@ end
 ## COPY_XJ 
 
 function propagate(::typeof(copy_xj), g::GNNGraph, ::typeof(+), xi, xj::AbstractMatrix, e)
-    @debug "copy_xj: propagating with type $(typeof(xj))"
-    A = adjacency_matrix(g, eltype(xj); weighted = false)
+    A = adjacency_matrix(g, weighted = false)
     return xj * A
 end