diff --git a/README.md b/README.md
index fc4c248..59e0b02 100644
--- a/README.md
+++ b/README.md
@@ -22,6 +22,10 @@ onnxvis
 onnxvis model.onnx
 ```
 
+## Notes on representation
+
+Graph input/output/initializers in ONNX are values (edges), not nodes. A node is displayed here for visualization. Graph inputs that are initialized by initializers are displayed as `InitializedInput`, and are displayed closer to nodes that use them.
+
 ## Screenshots
 
 <img width="1294" alt="image" src="https://github.com/justinchuby/model-explorer-onnx/assets/11205048/ed7e1eee-a693-48bd-811d-b384f784ef9b">
diff --git a/src/model_explorer_onnx/main.py b/src/model_explorer_onnx/main.py
index 086e3d4..87b47d2 100644
--- a/src/model_explorer_onnx/main.py
+++ b/src/model_explorer_onnx/main.py
@@ -45,10 +45,10 @@ def display_tensor_repr(tensor: ir.TensorProtocol | None) -> str:
 def can_display_tensor_json(
     tensor: ir.TensorProtocol | None, settings: Settings
 ) -> bool:
+    """Check if the tensor can be displayed as JSON."""
+    del settings  # Unused
     if tensor is None:
         return False
-    if tensor.size > settings.const_element_count_limit:
-        return False
     if isinstance(tensor, ir.ExternalTensor):
         return False
     return True
@@ -79,8 +79,8 @@ def format_shape(shape: ir.ShapeProtocol | None) -> str:
     return str(shape) if shape is not None else "[?]"
 
 
-def format_type(type: ir.TypeProtocol | None) -> str:
-    return str(type) if type is not None else "?"
+def format_type(type_: ir.TypeProtocol | None) -> str:
+    return str(type_) if type_ is not None else "?"
 
 
 def format_tensor_shape(value: ir.Value | ir.TensorProtocol) -> str:
@@ -89,12 +89,9 @@ def format_tensor_shape(value: ir.Value | ir.TensorProtocol) -> str:
     return f"{value.dtype or '?'}{format_shape(value.shape)}"
 
 
-def get_graph_io_node_name(value: ir.Value) -> str:
-    return f"[io] {value.name}"
-
-
-def get_initializer_node_name(value: ir.Value) -> str:
-    return f"[initializer] {value.name}"
+def get_value_node_name(value: ir.Value) -> str:
+    """Create name for node that is created from a value, that is for visualization only. E.g. Input."""
+    return f"[value] {value.name}"
 
 
 def get_function_graph_name(identifier: ir.OperatorIdentifier) -> str:
@@ -271,7 +268,7 @@ def add_incoming_edges(
             continue
         if input_value in graph_inputs:
             # The input is a graph input. Create an input edge.
-            source_node_id = get_graph_io_node_name(input_value)
+            source_node_id = get_value_node_name(input_value)
             source_node_output_id = "0"
         else:
             input_node = input_value.producer()
@@ -280,7 +277,7 @@ def add_incoming_edges(
                     "Input value %s does not have a producer. Treating as initializer.",
                     input_value,
                 )
-                source_node_id = get_initializer_node_name(input_value)
+                source_node_id = get_value_node_name(input_value)
                 source_node_output_id = "0"
             else:
                 assert input_node.name, "Bug: Node name is required"
@@ -356,16 +353,9 @@ def add_graph_io(
 ) -> None:
     for i, value in enumerate(input_or_outputs):
         node = graph_builder.GraphNode(
-            id=get_graph_io_node_name(value),
+            id=get_value_node_name(value),
             label=type_,
         )
-        set_attr(
-            node,
-            "explanation",
-            f"This is a graph {type_.lower()}. ONNX {type_.lower()}s are values (edges), not nodes. "
-            f"A node is displayed here for visualization.",
-        )
-
         producer = value.producer()
         if producer is not None:
             assert producer.name, "Bug: Node name is required"
@@ -444,18 +434,14 @@ def add_initializers(
                 "Initializer does not have a name. Skipping: %s", initializer
             )
             continue
-        input_node_name = get_graph_io_node_name(initializer)
-        if input_node_name in all_nodes:
+        initializer_node_name = get_value_node_name(initializer)
+        if initializer_node_name in all_nodes:
             # The initializer is also a graph input.
             # Convert it into an InitializedInput and fill in the missing metadata
-            node = all_nodes[input_node_name]
+            node = all_nodes[initializer_node_name]
             node.label = "InitializedInput"
-            set_attr(
-                node,
-                "explanation",
-                "This is a graph input that is initialized by an initializer. "
-                "ONNX inputs are values (edges), not nodes. A node is displayed here for visualization.",
-            )
+            # Push the initializer closer to the user node's namespace
+            node.namespace = get_constant_namespace(initializer, namespace)
             # Display the constant value
             if can_display_tensor_json(initializer.const_value, settings=settings):
                 assert initializer.const_value is not None
@@ -468,7 +454,6 @@ def add_initializers(
             metadata = node.outputsMetadata[0]
             set_attr(metadata, "value", display_tensor_repr(initializer.const_value))
             continue
-        initializer_node_name = get_initializer_node_name(initializer)
         node = graph_builder.GraphNode(
             id=initializer_node_name,
             label="Initializer",