The function create_graph_from_hana_dataframes in the hana_ml.graph.factory module creates a graph workspace based on HANA DataFrames, allowing for more advanced features such as setting a chunk_size when transferring the Pandas DataFrame to an HANA DataFrame.
------
Here is the executable code template based on the provided help doc:

```python
from hana_ml.dataframe import ConnectionContext, create_dataframe_from_pandas
from hana_ml.graph.factory import create_graph_from_hana_dataframes
import pandas as pd

# Create a connection to the SAP HANA system
connection_context = ConnectionContext(address='<address>', port='<port>', user='<user>', password='<password>')

# Create vertices dataframe from pandas dataframe
v_df = create_dataframe_from_pandas(
    connection_context=connection_context,
    pandas_df=pd.read_csv('nodes.csv'),
    table_name="factory_test_table_vertices",
    force=True,
    primary_key="guid"
)

# Create edges dataframe from pandas dataframe
e_df = create_dataframe_from_pandas(
    connection_context=connection_context,
    pandas_df=pd.read_csv('edges.csv'),
    table_name="factory_test_table_edges",
    force=True,
    primary_key="edge_id",
    not_nulls=["from", "to"]
)

# Create a graph from HANA dataframes
hg = create_graph_from_hana_dataframes(
    connection_context=connection_context,
    vertices_df=v_df,
    vertex_key_column="guid",
    edges_df=e_df,
    edge_key_column="edge_id",
    workspace_name="test_factory_ws",
    force=True
)

# Print the created graph
print(hg)
```

Please replace `<address>`, `<port>`, `<user>`, and `<password>` with your actual SAP HANA system details. Also, make sure that 'nodes.csv' and 'edges.csv' files are in the correct path.