City-Networks
London
Structure
1Graphs
569,000Nodes
759,000Edges
37Node Feature Dim
25Edge Feature Dim
0.76Homophily
Coverage
Node classification on the London road graph, predicting an accessibility class for every intersection. Street segments are edges and labels depend on long-range network structure. Evaluated by Accuracy.
Dataset details
Task
London road-network node classification from the City-Networks benchmark. Labels are derived from long-range accessibility statistics on the city graph. The primary catalog metric is Accuracy.
Data
London road-network node classification from the City-Networks benchmark. Labels are derived from long-range accessibility statistics on the city graph. The cataloged artifact reports 1 graphs.
Features
Road-network intersections are nodes and street segments are edges. The release derives node inputs and accessibility-based labels from the embedded city network; adding coordinates, centralities, or external map attributes changes the feature set.
Splits and evaluation
The catalog records these protocols or variants: Standard split. Evaluation uses Accuracy (higher is better). Exact masks or folds must come from the cited release.
Quirks and pitfalls
The four cities differ in topology, sampling, and label distribution, so they are separate datasets rather than interchangeable folds. Labels are derived from the same graph, creating a risk of target leakage through engineered centrality or accessibility features.
Sources
SOTA Progression
new SOTA
matches SOTA at that time
other proposed result
other baseline result
Leaderboard
| # | Model | Accuracy ↑ | Paper |
|---|---|---|---|
| 1 | GatedGCN | 0.6147
±
0.0014 | |
| 2 | GINE | 0.5760
±
0.0020 | |
| 3 | GAT | 0.5719
±
0.0109 | |
| 4 | GPS + k-MIP | 0.5605 | |
| 5 | GraphSAGE | 0.5540
±
0.0020 | |
| 6 | GCN | 0.5525
±
0.0006 | |
| 7 | ChebNet | 0.5470
±
0.0020 | |
| 8 | GPS + Performer | 0.5320 | |
| 9 | GAT | 0.5200
±
0.0030 | |
| 10 | GCN | 0.5010
±
0.0070 | |
| 11 | Exphormer | 0.4950
±
0.0040 | |
| 12 | SGFormer | 0.4830
±
0.0030 | |
| 13 | GCNII | 0.4820
±
0.0030 | |
| 14 | DropEdge | 0.4500
±
0.0030 | |
| 15 | MLP | 0.2790
±
0.0010 |
SOTA performance
set a new SOTA at the time
matched the SOTA at the time