Table 2 Graph classification datasets summary and results

Graphs

600

188

4110

Average Nodes

33

18

30

Max Nodes

126

28

111

Max Degree

9

4

4

Node Classes

3

7

37

Graph Classes

6

2

2

Classification Accuracy ± STD

GCN

0.31±0.06

0.87±0.10

0.69±0.02

DCNN

0.27±0.08

0.89±0.10

0.69±0.01

GAT

0.32±0.04

0.89±0.06

0.66±0.03

QWNN (cen)

0.26±0.03

0.90±0.09

0.76±0.01

QWNN (inv)

0.33±0.04

0.88±0.04

0.73±0.02

WL

0.59±0.01

0.84±0.01

0.85±0.00

SP

0.41±0.02

0.87±0.01

0.73±0.00