diff --git a/src/traccuracy/_tracking_graph.py b/src/traccuracy/_tracking_graph.py
index 85fb8333..a2c2cc70 100644
--- a/src/traccuracy/_tracking_graph.py
+++ b/src/traccuracy/_tracking_graph.py
@@ -210,14 +210,15 @@ def nodes(self, limit_to=None):
                 Will raise KeyError if any of these node_ids are not present.
 
         Returns:
-            dict[hashable, dict]: A dictionary from node ids to node attributes
+            NodeView: Provides set-like operations on the nodes as well as node attribute lookup.
         """
-        nodes = self.graph.nodes.items()
         if limit_to is None:
-            return dict(nodes)
+            return self.graph.nodes
         else:
-            limited_nodes = {_id: data for _id, data in nodes if _id in limit_to}
-            return limited_nodes
+            for node in limit_to:
+                if not self.graph.has_node(node):
+                    raise KeyError(f"Queried node {node} not present in graph.")
+            return self.graph.subgraph(limit_to).nodes
 
     def edges(self, limit_to=None):
         """Get all the edges in the graph, along with their attributes.
@@ -228,14 +229,16 @@ def edges(self, limit_to=None):
                 Will raise KeyError if any of these edge ids are not present.
 
         Returns:
-            dict[tuple[hashable], dict]: A dictionary from edge ids to edge attributes
+            OutEdgeView: Provides set-like operations on the edge-tuples as well as edge attribute
+                lookup.
         """
-        edges = self.graph.edges.items()
         if limit_to is None:
-            return dict(edges)
+            return self.graph.edges
         else:
-            limited_edges = {_id: data for _id, data in edges if _id in limit_to}
-            return limited_edges
+            for edge in limit_to:
+                if not self.graph.has_edge(*edge):
+                    raise KeyError(f"Queried edge {edge} not present in graph.")
+            return self.graph.edge_subgraph(limit_to).edges
 
     def get_nodes_in_frame(self, frame):
         """Get the node ids of all nodes in the given frame.
diff --git a/src/traccuracy/track_errors/_ctc.py b/src/traccuracy/track_errors/_ctc.py
index ea7071e9..642399df 100644
--- a/src/traccuracy/track_errors/_ctc.py
+++ b/src/traccuracy/track_errors/_ctc.py
@@ -2,7 +2,6 @@
 from collections import defaultdict
 from typing import TYPE_CHECKING
 
-import numpy as np
 from tqdm import tqdm
 
 from traccuracy import EdgeAttr, NodeAttr
@@ -95,8 +94,8 @@ def get_edge_errors(matched_data: "Matched"):
     )
     gt_graph.set_edge_attribute(list(gt_graph.edges()), EdgeAttr.FALSE_NEG, False)
 
-    node_mapping_first = np.array([mp[0] for mp in node_mapping])
-    node_mapping_second = np.array([mp[1] for mp in node_mapping])
+    gt_comp_mapping = {gt: comp for gt, comp in node_mapping if comp in induced_graph}
+    comp_gt_mapping = {comp: gt for gt, comp in node_mapping if comp in induced_graph}
 
     # intertrack edges = connection between parent and daughter
     for graph in [comp_graph, gt_graph]:
@@ -119,8 +118,8 @@ def get_edge_errors(matched_data: "Matched"):
     for edge in tqdm(induced_graph.edges, "Evaluating FP edges"):
         source, target = edge[0], edge[1]
 
-        source_gt_id = node_mapping[np.where(node_mapping_second == source)[0][0]][0]
-        target_gt_id = node_mapping[np.where(node_mapping_second == target)[0][0]][0]
+        source_gt_id = comp_gt_mapping[source]
+        target_gt_id = comp_gt_mapping[target]
 
         expected_gt_edge = (source_gt_id, target_gt_id)
         if expected_gt_edge not in gt_graph.edges():
@@ -143,8 +142,8 @@ def get_edge_errors(matched_data: "Matched"):
             gt_graph.set_edge_attribute(edge, EdgeAttr.FALSE_NEG, True)
             continue
 
-        source_comp_id = node_mapping[np.where(node_mapping_first == source)[0][0]][1]
-        target_comp_id = node_mapping[np.where(node_mapping_first == target)[0][0]][1]
+        source_comp_id = gt_comp_mapping[source]
+        target_comp_id = gt_comp_mapping[target]
 
         expected_comp_edge = (source_comp_id, target_comp_id)
         if expected_comp_edge not in induced_graph.edges: