Limit subgraph size to 500 nodes in NetworkXStorage
- Add max_graph_nodes check - Reduce subgraph by degree - Log graph size reduction
This commit is contained in:
@@ -219,10 +219,21 @@ class NetworkXStorage(BaseGraphStorage):
|
||||
if not nodes_to_explore:
|
||||
logger.warning(f"No nodes found with label {node_label}")
|
||||
return result
|
||||
|
||||
|
||||
# Get subgraph using ego_graph
|
||||
subgraph = nx.ego_graph(self._graph, nodes_to_explore[0], radius=max_depth)
|
||||
|
||||
# Check if number of nodes exceeds max_graph_nodes
|
||||
max_graph_nodes=500
|
||||
if len(subgraph.nodes()) > max_graph_nodes:
|
||||
origin_nodes=len(subgraph.nodes())
|
||||
node_degrees = dict(subgraph.degree())
|
||||
top_nodes = sorted(node_degrees.items(), key=lambda x: x[1], reverse=True)[:max_graph_nodes]
|
||||
top_node_ids = [node[0] for node in top_nodes]
|
||||
# Create new subgraph with only top nodes
|
||||
subgraph = subgraph.subgraph(top_node_ids)
|
||||
logger.info(f"Reduced graph from {origin_nodes} nodes to {max_graph_nodes} nodes by degree (depth={max_depth})")
|
||||
|
||||
# Add nodes to result
|
||||
for node in subgraph.nodes():
|
||||
if str(node) in seen_nodes:
|
||||
|
Reference in New Issue
Block a user