<｜begin▁of▁sentence｜>### Instruction:
Given a graph data file called 'graph_data.gml', can you obtain the sparse adjacency matrix using 'get_adjacency_sparse' without specifying an edge attribute?
### Response:
import igraph as ig
from scipy.sparse import csr_matrix

# Load a graph
filename = 'graph_data.gml'
g = ig.Graph.Read_GML(filename)

# Get the sparse adjacency matrix of the graph
# If an edge attribute is needed, replace None with the attribute name (e.g., 'weight')
adj_matrix_sparse: csr_matrix = g.get_adjacency_sparse(attribute=None)

# Use the matrix for further computations
print(adj_matrix_sparse)
<|EOT|>
