diff --git a/CHANGELOG.md b/CHANGELOG.md
index ff558764e23d..36f855cc0ee4 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,6 +5,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [2.0.5] - 2022-MM-DD
 ### Added
+- Added `size=None` explanation to jittable `MessagePassing` modules in the documentation ([#4850](https://github.com/pyg-team/pytorch_geometric/pull/4850))
 - Added documentation to the `DataLoaderIterator` class ([#4838](https://github.com/pyg-team/pytorch_geometric/pull/4838))
 - Added `GraphStore` support to `Data` and `HeteroData` ([#4816](https://github.com/pyg-team/pytorch_geometric/pull/4816))
 - Added `FeatureStore` support to `Data` and `HeteroData` ([#4807](https://github.com/pyg-team/pytorch_geometric/pull/4807))
diff --git a/docs/source/notes/jit.rst b/docs/source/notes/jit.rst
index 76999da5dcc1..54891c910570 100644
--- a/docs/source/notes/jit.rst
+++ b/docs/source/notes/jit.rst
@@ -99,7 +99,8 @@ However, if you want your own GNN module to be jittable, you need to account for
             def forward(self, x: Tensor, edge_index: Tensor,
                         edge_weight: Optional[Tensor]) -> Tensor:
 
-                return self.propagate(edge_index, x=x, edge_weight=edge_weight)
+                return self.propagate(edge_index, x=x, edge_weight=edge_weight,
+                                      size=None)
 
    2. Declaring the type of propagation arguments as a comment anywhere inside your module:
 
@@ -115,4 +116,10 @@ However, if you want your own GNN module to be jittable, you need to account for
                         edge_weight: Optional[Tensor]) -> Tensor:
 
                 # propagate_type: (x: Tensor, edge_weight: Optional[Tensor])
-                return self.propagate(edge_index, x=x, edge_weight=edge_weight)
+                return self.propagate(edge_index, x=x, edge_weight=edge_weight,
+                                      size=None)
+
+.. warning::
+
+   Importantly, due to TorchScript limitations, one also has to pass in the :obj:`size` attribute to :meth:`~torch_geometric.nn.conv.message_passing.MessagePassing.propagate`.
+   In most cases, this can be simply set to :obj:`None` in which case it will be automatically inferred.