diff --git a/RELEASE.md b/RELEASE.md
index fe103256cf..7cb9bcc4a8 100644
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -3,6 +3,7 @@
 ## Major features and improvements
 * Create the debugging line magic `%load_node` for Jupyter Notebook and Jupyter Lab.
 * Add better IPython, VSCode Notebook support for `%load_node` and minimal support for Databricks.
+* Add full Kedro Node input syntax for `%load_node`.
 
 ## Bug fixes and other changes
 * Updated CLI Command `kedro catalog resolve` to work with dataset factories that use `PartitionedDataset`.
diff --git a/docs/source/conf.py b/docs/source/conf.py
index b8f77dc0f4..983bcd7d2d 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -106,7 +106,6 @@
     "kedro_docs_style_guide.md",
 ]
 
-
 type_targets = {
     "py:class": (
         "object",
diff --git a/kedro/ipython/__init__.py b/kedro/ipython/__init__.py
index 2a6b2d66d3..d07a30c479 100644
--- a/kedro/ipython/__init__.py
+++ b/kedro/ipython/__init__.py
@@ -12,7 +12,8 @@
 import typing
 import warnings
 from pathlib import Path
-from typing import Any, Callable
+from types import MappingProxyType
+from typing import Any, Callable, OrderedDict
 
 from IPython.core.getipython import get_ipython
 from IPython.core.magic import needs_local_scope, register_line_magic
@@ -36,6 +37,8 @@
 
 logger = logging.getLogger(__name__)
 
+FunctionParameters = MappingProxyType
+
 
 def load_ipython_extension(ipython: Any) -> None:
     """
@@ -45,9 +48,9 @@ def load_ipython_extension(ipython: Any) -> None:
     See https://ipython.readthedocs.io/en/stable/config/extensions/index.html
     """
     ipython.register_magic_function(magic_reload_kedro, magic_name="reload_kedro")
-    logger.info("Registered line magic 'reload_kedro'")
+    logger.info("Registered line magic '%reload_kedro'")
     ipython.register_magic_function(magic_load_node, magic_name="load_node")
-    logger.info("Registered line magic 'load_node'")
+    logger.info("Registered line magic '%load_node'")
 
     if _find_kedro_project(Path.cwd()) is None:
         logger.warning(
@@ -225,7 +228,9 @@ def magic_load_node(args: str) -> None:
     """
 
     parameters = parse_argstring(magic_load_node, args)
-    cells = _load_node(parameters.node, pipelines)
+    node_name = parameters.node
+
+    cells = _load_node(node_name, pipelines)
 
     run_environment = _guess_run_environment()
     if run_environment == "jupyter":
@@ -240,6 +245,36 @@ def magic_load_node(args: str) -> None:
         _print_cells(cells)
 
 
+class _NodeBoundArguments(inspect.BoundArguments):
+    """Similar to inspect.BoundArguments"""
+
+    def __init__(
+        self, signature: inspect.Signature, arguments: OrderedDict[str, Any]
+    ) -> None:
+        super().__init__(signature, arguments)
+
+    @property
+    def input_params_dict(self) -> dict[str, str] | None:
+        """A mapping of {variable name: dataset_name}"""
+        var_positional_arg_name = self._find_var_positional_arg()
+        inputs_params_dict = {}
+        for param, dataset_name in self.arguments.items():
+            if param == var_positional_arg_name:
+                # If the argument is *args, use the dataset name instead
+                for arg in dataset_name:
+                    inputs_params_dict[arg] = arg
+            else:
+                inputs_params_dict[param] = dataset_name
+        return inputs_params_dict
+
+    def _find_var_positional_arg(self) -> str | None:
+        """Find the name of the VAR_POSITIONAL argument( *args), if any."""
+        for k, v in self.signature.parameters.items():
+            if v.kind == inspect.Parameter.VAR_POSITIONAL:
+                return k
+        return None
+
+
 def _create_cell_with_text(text: str, is_jupyter: bool = True) -> None:
     if is_jupyter:
         from ipylab import JupyterFrontEnd
@@ -277,16 +312,20 @@ def _load_node(node_name: str, pipelines: _ProjectPipelines) -> list[str]:
     node = _find_node(node_name, pipelines)
     node_func = node.func
 
-    node_inputs = _prepare_node_inputs(node)
-    imports = _prepare_imports(node_func)
-    function_definition = _prepare_function_body(node_func)
-    function_call = _prepare_function_call(node_func)
+    imports_cell = _prepare_imports(node_func)
+    function_definition_cell = _prepare_function_body(node_func)
+
+    node_bound_arguments = _get_node_bound_arguments(node)
+    inputs_params_mapping = _prepare_node_inputs(node_bound_arguments)
+    node_inputs_cell = _format_node_inputs_text(inputs_params_mapping)
+    function_call_cell = _prepare_function_call(node_func, node_bound_arguments)
 
     cells: list[str] = []
-    cells.append(node_inputs)
-    cells.append(imports)
-    cells.append(function_definition)
-    cells.append(function_call)
+    if node_inputs_cell:
+        cells.append(node_inputs_cell)
+    cells.append(imports_cell)
+    cells.append(function_definition_cell)
+    cells.append(function_call_cell)
     return cells
 
 
@@ -323,20 +362,37 @@ def _prepare_imports(node_func: Callable) -> str:
         raise FileNotFoundError(f"Could not find {node_func.__name__}")
 
 
-def _prepare_node_inputs(node: Node) -> str:
+def _get_node_bound_arguments(node: Node) -> _NodeBoundArguments:
     node_func = node.func
+    node_inputs = node.inputs
+
+    args, kwargs = Node._process_inputs_for_bind(node_inputs)
     signature = inspect.signature(node_func)
+    bound_arguments = signature.bind(*args, **kwargs)
+    return _NodeBoundArguments(bound_arguments.signature, bound_arguments.arguments)
 
-    node_inputs = node.inputs
-    func_params = list(signature.parameters)
 
+def _prepare_node_inputs(
+    node_bound_arguments: _NodeBoundArguments,
+) -> dict[str, str] | None:
+    # Remove the *args. For example {'first_arg':'a', 'args': ('b','c')}
+    # will be loaded as follow:
+    # first_arg = catalog.load("a")
+    # b = catalog.load("b") # It doesn't have an arg name, so use the dataset name instead.
+    # c = catalog.load("c")
+    return node_bound_arguments.input_params_dict
+
+
+def _format_node_inputs_text(input_params_dict: dict[str, str] | None) -> str | None:
     statements = [
         "# Prepare necessary inputs for debugging",
         "# All debugging inputs must be defined in your project catalog",
     ]
+    if not input_params_dict:
+        return None
 
-    for node_input, func_param in zip(node_inputs, func_params):
-        statements.append(f'{func_param} = catalog.load("{node_input}")')
+    for func_param, dataset_name in input_params_dict.items():
+        statements.append(f'{func_param} = catalog.load("{dataset_name}")')
 
     input_statements = "\n".join(statements)
     return input_statements
@@ -348,13 +404,19 @@ def _prepare_function_body(func: Callable) -> str:
     return body
 
 
-def _prepare_function_call(node_func: Callable) -> str:
+def _prepare_function_call(
+    node_func: Callable, node_bound_arguments: _NodeBoundArguments
+) -> str:
     """Prepare the text for the function call."""
     func_name = node_func.__name__
-    signature = inspect.signature(node_func)
-    func_params = list(signature.parameters)
+    args = node_bound_arguments.input_params_dict
+    kwargs = node_bound_arguments.kwargs
 
     # Construct the statement of func_name(a=1,b=2,c=3)
-    func_args = ", ".join(func_params)
-    body = f"""{func_name}({func_args})"""
+    args_str_literal = [f"{node_input}" for node_input in args] if args else []
+    kwargs_str_literal = [
+        f"{node_input}={dataset_name}" for node_input, dataset_name in kwargs.items()
+    ]
+    func_params = ", ".join(args_str_literal + kwargs_str_literal)
+    body = f"""{func_name}({func_params})"""
     return body
diff --git a/tests/ipython/conftest.py b/tests/ipython/conftest.py
index 2f71021ac2..edc7dbc9e8 100644
--- a/tests/ipython/conftest.py
+++ b/tests/ipython/conftest.py
@@ -14,6 +14,7 @@
 from .dummy_function_fixtures import (
     dummy_function,
     dummy_function_with_loop,
+    dummy_function_with_variable_length,
     dummy_nested_function,
 )
 
@@ -105,6 +106,36 @@ def dummy_node():
     )
 
 
+@pytest.fixture
+def dummy_node_empty_input():
+    return node(
+        func=dummy_function,
+        inputs=["", ""],
+        outputs=[None],
+        name="dummy_node_empty_input",
+    )
+
+
+@pytest.fixture
+def dummy_node_dict_input():
+    return node(
+        func=dummy_function,
+        inputs=dict(dummy_input="dummy_input", my_input="extra_input"),
+        outputs=["dummy_output"],
+        name="dummy_node_empty_input",
+    )
+
+
+@pytest.fixture
+def dummy_node_with_variable_length():
+    return node(
+        func=dummy_function_with_variable_length,
+        inputs=["dummy_input", "extra_input", "first", "second"],
+        outputs=["dummy_output"],
+        name="dummy_node_with_variable_length",
+    )
+
+
 @pytest.fixture
 def lambda_node():
     return node(
diff --git a/tests/ipython/dummy_function_fixtures.py b/tests/ipython/dummy_function_fixtures.py
index fd9438460b..2b48957a93 100644
--- a/tests/ipython/dummy_function_fixtures.py
+++ b/tests/ipython/dummy_function_fixtures.py
@@ -37,3 +37,7 @@ def dummy_function_with_loop(dummy_list):
     for x in dummy_list:
         continue
     return len(dummy_list)
+
+
+def dummy_function_with_variable_length(dummy_input, my_input, *args, **kwargs):
+    pass
diff --git a/tests/ipython/test_ipython.py b/tests/ipython/test_ipython.py
index 309b05aa55..333dc5e80e 100644
--- a/tests/ipython/test_ipython.py
+++ b/tests/ipython/test_ipython.py
@@ -7,6 +7,8 @@
 from kedro.framework.project import pipelines
 from kedro.ipython import (
     _find_node,
+    _format_node_inputs_text,
+    _get_node_bound_arguments,
     _load_node,
     _prepare_function_body,
     _prepare_imports,
@@ -199,13 +201,13 @@ def test_load_extension_register_line_magic(self, mocker, ipython):
             "--conf-source=new_conf",
         ],
     )
-    def test_reload_kedro_magic_with_valid_arguments(self, mocker, args, ipython):
+    def test_line_magic_with_valid_arguments(self, mocker, args, ipython):
         mocker.patch("kedro.ipython._find_kedro_project")
         mocker.patch("kedro.ipython.reload_kedro")
 
         ipython.magic(f"reload_kedro {args}")
 
-    def test_reload_kedro_with_invalid_arguments(self, mocker, ipython):
+    def test_line_magic_with_invalid_arguments(self, mocker, ipython):
         mocker.patch("kedro.ipython._find_kedro_project")
         mocker.patch("kedro.ipython.reload_kedro")
         load_ipython_extension(ipython)
@@ -357,13 +359,48 @@ def test_prepare_node_inputs(
         self,
         dummy_node,
     ):
-        func_inputs = """# Prepare necessary inputs for debugging
-# All debugging inputs must be defined in your project catalog
-dummy_input = catalog.load("dummy_input")
-my_input = catalog.load("extra_input")"""
+        expected = {"dummy_input": "dummy_input", "my_input": "extra_input"}
+
+        node_bound_arguments = _get_node_bound_arguments(dummy_node)
+        result = _prepare_node_inputs(node_bound_arguments)
+        assert result == expected
+
+    def test_prepare_node_inputs_when_input_is_empty(
+        self,
+        dummy_node_empty_input,
+    ):
+        expected = {"dummy_input": "", "my_input": ""}
+
+        node_bound_arguments = _get_node_bound_arguments(dummy_node_empty_input)
+        result = _prepare_node_inputs(node_bound_arguments)
+        assert result == expected
+
+    def test_prepare_node_inputs_with_dict_input(
+        self,
+        dummy_node_dict_input,
+    ):
+        expected = {"dummy_input": "dummy_input", "my_input": "extra_input"}
+
+        node_bound_arguments = _get_node_bound_arguments(dummy_node_dict_input)
+        result = _prepare_node_inputs(node_bound_arguments)
+        assert result == expected
 
-        result = _prepare_node_inputs(dummy_node)
-        assert result == func_inputs
+    def test_prepare_node_inputs_with_variable_length_args(
+        self,
+        dummy_node_with_variable_length,
+    ):
+        expected = {
+            "dummy_input": "dummy_input",
+            "my_input": "extra_input",
+            "first": "first",
+            "second": "second",
+        }
+
+        node_bound_arguments = _get_node_bound_arguments(
+            dummy_node_with_variable_length
+        )
+        result = _prepare_node_inputs(node_bound_arguments)
+        assert result == expected
 
     def test_prepare_function_body(self, dummy_function_defintion):
         result = _prepare_function_body(dummy_function)
@@ -430,3 +467,41 @@ def test_load_node_with_other(self, mocker, ipython, run_env):
         load_ipython_extension(ipython)
         ipython.magic("load_node dummy_node")
         spy.assert_called_once()
+
+
+class TestFormatNodeInputsText:
+    def test_format_node_inputs_text_empty_input(self):
+        # Test with empty input_params_dict
+        input_params_dict = {}
+        expected_output = None
+        assert _format_node_inputs_text(input_params_dict) == expected_output
+
+    def test_format_node_inputs_text_single_input(self):
+        # Test with a single input
+        input_params_dict = {"input1": "dataset1"}
+        expected_output = (
+            "# Prepare necessary inputs for debugging\n"
+            "# All debugging inputs must be defined in your project catalog\n"
+            'input1 = catalog.load("dataset1")'
+        )
+        assert _format_node_inputs_text(input_params_dict) == expected_output
+
+    def test_format_node_inputs_text_multiple_inputs(self):
+        # Test with multiple inputs
+        input_params_dict = {
+            "input1": "dataset1",
+            "input2": "dataset2",
+            "input3": "dataset3",
+        }
+        expected_output = (
+            "# Prepare necessary inputs for debugging\n"
+            "# All debugging inputs must be defined in your project catalog\n"
+            'input1 = catalog.load("dataset1")\n'
+            'input2 = catalog.load("dataset2")\n'
+            'input3 = catalog.load("dataset3")'
+        )
+        assert _format_node_inputs_text(input_params_dict) == expected_output
+
+    def test_format_node_inputs_text_no_catalog_load(self):
+        # Test with no catalog.load() statements if input_params_dict is None
+        assert _format_node_inputs_text(None) is None