A Small Sample Recognition Model for Poisonous and Edible Mushrooms based on Graph Convolutional Neural Network

Table 1

Graph convolutional network solution set description.

Convolutional network node	Set ratio	Case a sample	Training samples	Inductive prediction
Vgg-1	0.30	3 × 3	Edible mushroom	10.82
Vgg-2	0.41	5 × 5	Azimuth angle	22.79
Vgg-3	0.67	9 × 9	Ground objects	27.41
Vgg-4	0.43	7 × 7	Scattering characteristics	18.31
Vgg-5	0.22	3 × 3	Azimuth angle	32.28