diff --git a/torch_geometric/nn/pool/glob.py b/torch_geometric/nn/pool/glob.py
index 17ea54653987..75792fadbb86 100644
--- a/torch_geometric/nn/pool/glob.py
+++ b/torch_geometric/nn/pool/glob.py
@@ -26,10 +26,12 @@ def global_add_pool(x: Tensor, batch: Optional[Tensor],
         size (int, optional): The number of examples :math:`B`.
             Automatically calculated if not given. (default: :obj:`None`)
     """
+    dim = -1 if x.dim() == 1 else -2
+
     if batch is None:
-        return x.sum(dim=-2, keepdim=x.dim() == 2)
+        return x.sum(dim=dim, keepdim=x.dim() == 2 or x.dim() == 1)
     size = int(batch.max().item() + 1) if size is None else size
-    return scatter(x, batch, dim=-2, dim_size=size, reduce='sum')
+    return scatter(x, batch, dim=dim, dim_size=size, reduce='sum')
 
 
 def global_mean_pool(x: Tensor, batch: Optional[Tensor],
@@ -53,10 +55,12 @@ def global_mean_pool(x: Tensor, batch: Optional[Tensor],
         size (int, optional): The number of examples :math:`B`.
             Automatically calculated if not given. (default: :obj:`None`)
     """
+    dim = -1 if x.dim() == 1 else -2
+
     if batch is None:
-        return x.mean(dim=-2, keepdim=x.dim() == 2)
+        return x.mean(dim=dim, keepdim=x.dim() == 2 or x.dim() == 1)
     size = int(batch.max().item() + 1) if size is None else size
-    return scatter(x, batch, dim=-2, dim_size=size, reduce='mean')
+    return scatter(x, batch, dim=dim, dim_size=size, reduce='mean')
 
 
 def global_max_pool(x: Tensor, batch: Optional[Tensor],
@@ -80,7 +84,9 @@ def global_max_pool(x: Tensor, batch: Optional[Tensor],
         size (int, optional): The number of examples :math:`B`.
             Automatically calculated if not given. (default: :obj:`None`)
     """
+    dim = -1 if x.dim() == 1 else -2
+
     if batch is None:
-        return x.max(dim=-2, keepdim=x.dim() == 2)[0]
+        return x.max(dim=dim, keepdim=x.dim() == 2 or x.dim() == 1)[0]
     size = int(batch.max().item() + 1) if size is None else size
-    return scatter(x, batch, dim=-2, dim_size=size, reduce='max')
+    return scatter(x, batch, dim=dim, dim_size=size, reduce='max')