remove useless params

GNNLux/src/layers/conv.jl

@@ -635,32 +635,26 @@ end
     in_dims::Int
     out_dims::Int
     use_bias::Bool
-    add_self_loops::Bool
-    use_edge_weight::Bool
     init_weight
     init_bias
     σ
 end
 
-
 function NNConv(ch::Pair{Int, Int}, nn, σ = identity; 
                 aggr = +, 
                 init_bias = zeros32,
                 use_bias::Bool = true,
                 init_weight = glorot_uniform,
-                add_self_loops::Bool = true,
-                use_edge_weight::Bool = false,
                 allow_fast_activation::Bool = true)
     in_dims, out_dims = ch
     σ = allow_fast_activation ? NNlib.fast_act(σ) : σ
-    return NNConv(nn, aggr, in_dims, out_dims, use_bias, add_self_loops, use_edge_weight, init_weight, init_bias, σ)
+    return NNConv(nn, aggr, in_dims, out_dims, use_bias, init_weight, init_bias, σ)
 end
 
 function (l::NNConv)(g, x, edge_weight, ps, st)
     nn = StatefulLuxLayer{true}(l.nn, ps, st)
 
-    m = (; nn, l.aggr, ps.weight, bias = _getbias(ps), 
-        l.add_self_loops, l.use_edge_weight, l.σ)
+    m = (; nn, l.aggr, ps.weight, bias = _getbias(ps), l.σ)
     y = GNNlib.nn_conv(m, g, x, edge_weight)
     stnew = _getstate(nn)
     return y, stnew
@@ -670,8 +664,6 @@ function Base.show(io::IO, l::NNConv)
     print(io, "NNConv($(l.nn)")
     l.σ == identity || print(io, ", ", l.σ)
     l.use_bias || print(io, ", use_bias=false")
-    l.add_self_loops || print(io, ", add_self_loops=false")
-    !l.use_edge_weight || print(io, ", use_edge_weight=true")
     print(io, ")")
 end