City-Networks

Paris

Node Classification PyG dataset page ↗PyG ↗

Node classification on the Paris 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

Paris 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

Paris 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

#ModelAccuracy ↑Paper
1
GAT
0.5583 ± 0.0042
2
Exphormer
0.5510 ± 0.0080
3
GraphSAGE
0.5460 ± 0.0020
4
ChebNet
0.5410 ± 0.0020
5
GPS + Performer
0.5406 ± 0.0027
6
GPS + k-MIP
0.5362 ± 0.0022
7
GPS + BigBird
0.5353 ± 0.0037
8
GINE
0.5336 ± 0.0023
9
GatedGCN
0.5327 ± 0.0010
10
GCN
0.5320 ± 0.0030
11
GraphGPS
0.5210 ± 0.0060
12
SGFormer
0.5200 ± 0.0080
13
Exphormer
0.5140 ± 0.0008
14
GCNII
0.5130 ± 0.0020
15
GAT
0.5110 ± 0.0030
16
DropEdge
0.4820 ± 0.0020
17
MLP
0.2550 ± 0.0040
SOTA performance set a new SOTA at the time matched the SOTA at the time