diff --git a/examples/pytorch/ogb/directional_GSN/main.py b/examples/pytorch/ogb/directional_GSN/main.py
index f4f1dc0aa961..559dee3569d0 100644
--- a/examples/pytorch/ogb/directional_GSN/main.py
+++ b/examples/pytorch/ogb/directional_GSN/main.py
@@ -302,7 +302,7 @@ def train(dataset, params):
 
     optimizer = optim.Adam(model.parameters(), lr=0.0008, weight_decay=1e-5)
     scheduler = optim.lr_scheduler.ReduceLROnPlateau(
-        optimizer, mode="min", factor=0.8, patience=8, verbose=True
+        optimizer, mode="min", factor=0.8, patience=8
     )
 
     epoch_train_losses, epoch_val_losses = [], []
diff --git a/examples/pytorch/ogb/ogbn-arxiv/gcn.py b/examples/pytorch/ogb/ogbn-arxiv/gcn.py
index c30b4dee7add..de3db57381c9 100644
--- a/examples/pytorch/ogb/ogbn-arxiv/gcn.py
+++ b/examples/pytorch/ogb/ogbn-arxiv/gcn.py
@@ -136,7 +136,6 @@ def run(
         mode="min",
         factor=0.5,
         patience=100,
-        verbose=True,
         min_lr=1e-3,
     )
 
diff --git a/examples/pytorch/ogb/ogbn-products/gat/gat.py b/examples/pytorch/ogb/ogbn-products/gat/gat.py
index c3585f6b5519..826e370745df 100755
--- a/examples/pytorch/ogb/ogbn-products/gat/gat.py
+++ b/examples/pytorch/ogb/ogbn-products/gat/gat.py
@@ -302,7 +302,6 @@ def run(
         mode="max",
         factor=0.7,
         patience=20,
-        verbose=True,
         min_lr=1e-4,
     )
 
diff --git a/examples/pytorch/ogb/ogbn-products/mlp/mlp.py b/examples/pytorch/ogb/ogbn-products/mlp/mlp.py
index 4c1fa8228ded..56e9d52b3e38 100755
--- a/examples/pytorch/ogb/ogbn-products/mlp/mlp.py
+++ b/examples/pytorch/ogb/ogbn-products/mlp/mlp.py
@@ -215,7 +215,6 @@ def run(
         mode="max",
         factor=0.7,
         patience=20,
-        verbose=True,
         min_lr=1e-4,
     )
 
diff --git a/examples/pytorch/ogb/ogbn-proteins/gat.py b/examples/pytorch/ogb/ogbn-proteins/gat.py
index 6860461611e0..e3f8ab08e257 100755
--- a/examples/pytorch/ogb/ogbn-proteins/gat.py
+++ b/examples/pytorch/ogb/ogbn-proteins/gat.py
@@ -246,7 +246,7 @@ def run(
         model.parameters(), lr=args.lr, weight_decay=args.wd
     )
     lr_scheduler = optim.lr_scheduler.ReduceLROnPlateau(
-        optimizer, mode="max", factor=0.75, patience=50, verbose=True
+        optimizer, mode="max", factor=0.75, patience=50
     )
 
     total_time = 0