sf.apps.data.MUTAG

class MUTAG

Bases: strawberryfields.apps.data.feature.FeatureDataset

Exactly-calculated feature vectors of the 188 graphs in the MUTAG dataset.

The MUTAG dataset is widely used to benchmark performance of graph kernels and graph neural networks [2], [3]. It contains molecular graphs of 188 chemical compounds divided into two classes according to their mutagenic effect on a bacterium.

method = "exact"

n_mean = 8

unit = "orbits"

unit_data = [[1, 1], [2], [1, 1, 1, 1], [2, 1, 1], [2, 2], [1, 1, 1, 1, 1, 1], [2, 1, 1, 1, 1], [2, 2, 1, 1], [2, 2, 2]]

Attributes

method
n_mean
unit
unit_data

method = 'exact'

n_mean = 8

unit = 'orbits'

unit_data = [[1, 1], [2], [1, 1, 1, 1], [2, 1, 1], [2, 2], [1, 1, 1, 1, 1, 1], [2, 1, 1, 1, 1], [2, 2, 1, 1], [2, 2, 2]]

code/api/api/strawberryfields.apps.data.MUTAG

 

Download Python script

 

Download Notebook

 

View on GitHub