Add bias term in TransformerConv (#10177)

close #10163 and #10130

Author: xnuohz

torch_geometric/nn/conv/transformer_conv.py

@@ -126,9 +126,11 @@ def __init__(
         if isinstance(in_channels, int):
             in_channels = (in_channels, in_channels)
 
-        self.lin_key = Linear(in_channels[0], heads * out_channels)
-        self.lin_query = Linear(in_channels[1], heads * out_channels)
-        self.lin_value = Linear(in_channels[0], heads * out_channels)
+        self.lin_key = Linear(in_channels[0], heads * out_channels, bias=bias)
+        self.lin_query = Linear(in_channels[1], heads * out_channels,
+                                bias=bias)
+        self.lin_value = Linear(in_channels[0], heads * out_channels,
+                                bias=bias)
         if edge_dim is not None:
             self.lin_edge = Linear(edge_dim, heads * out_channels, bias=False)
         else: