diff --git a/examples/explain/attention_exaplainer.py b/examples/explain/attention_exaplainer.py
index 65e7c0f3d15db..314c759ec94ac 100644
--- a/examples/explain/attention_exaplainer.py
+++ b/examples/explain/attention_exaplainer.py
@@ -5,7 +5,7 @@
 
 import torch_geometric
 from torch_geometric.datasets import Planetoid
-from torch_geometric.explain import Explainer, AttentionExplainer
+from torch_geometric.explain import AttentionExplainer, Explainer
 from torch_geometric.nn import GATConv
 
 if torch.cuda.is_available():
@@ -19,14 +19,15 @@
 dataset = Planetoid(path, name='Cora')
 data = dataset[0].to(device)
 
-
 # GAT Node Classification =====================================================
 
+
 class GAT(torch.nn.Module):
     def __init__(self):
         super().__init__()
         self.conv1 = GATConv(dataset.num_features, 8, heads=8, dropout=0.6)
-        self.conv2 = GATConv(64, dataset.num_classes, heads=1, concat=False, dropout=0.6)
+        self.conv2 = GATConv(64, dataset.num_classes, heads=1, concat=False,
+                             dropout=0.6)
 
     def forward(self, x, edge_index):
         x = F.dropout(x, p=0.6, training=self.training)
diff --git a/examples/explain/graphmask_explainer.py b/examples/explain/graphmask_explainer.py
index c7de53cf75428..a7659a9afd604 100644
--- a/examples/explain/graphmask_explainer.py
+++ b/examples/explain/graphmask_explainer.py
@@ -19,7 +19,6 @@
 dataset = Planetoid(path, name='Cora')
 data = dataset[0].to(device)
 
-
 # GCN Node Classification =====================================================