add node_type_subgraph and edge_type_subgraph to changelog

CHANGELOG.md

@@ -61,7 +61,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Confirm that `to_hetero()` works with custom functions, *e.g.*, `dropout_adj` ([4653](https://github.com/pyg-team/pytorch_geometric/pull/4653))
 - Added the `MLP.plain_last=False` option ([4652](https://github.com/pyg-team/pytorch_geometric/pull/4652))
 - Added a check in `HeteroConv` and `to_hetero()` to ensure that `MessagePassing.add_self_loops` is disabled ([4647](https://github.com/pyg-team/pytorch_geometric/pull/4647))
-- Added `HeteroData.subgraph()` support ([#4635](https://github.com/pyg-team/pytorch_geometric/pull/4635))
+- Added `HeteroData.subgraph()`, `HeteroData.node_type_subgraph()` and `HeteroData.edge_type_subgraph()` support ([#4635](https://github.com/pyg-team/pytorch_geometric/pull/4635))
 - Added the `AQSOL` dataset ([#4626](https://github.com/pyg-team/pytorch_geometric/pull/4626))
 - Added `HeteroData.node_items()` and `HeteroData.edge_items()` functionality ([#4644](https://github.com/pyg-team/pytorch_geometric/pull/4644))
 - Added PyTorch Lightning support in GraphGym ([#4511](https://github.com/pyg-team/pytorch_geometric/pull/4511), [#4516](https://github.com/pyg-team/pytorch_geometric/pull/4516) [#4531](https://github.com/pyg-team/pytorch_geometric/pull/4531), [#4689](https://github.com/pyg-team/pytorch_geometric/pull/4689), [#4843](https://github.com/pyg-team/pytorch_geometric/pull/4843))

test/transforms/test_random_link_split.py

@@ -100,10 +100,8 @@ def test_random_link_split_on_hetero_data():
     data['a', 'p'].edge_attr = torch.arange(1500, 2500)
 
     transform = RandomLinkSplit(num_val=0.2, num_test=0.2, is_undirected=True,
-                                edge_types=data.edge_types,
-                                rev_edge_types=data.edge_types)
+                                edge_types=('p', 'p'))
     train_data, val_data, test_data = transform(data)
-    print(train_data)
 
     assert len(train_data['p']) == 1
     assert len(train_data['a']) == 1