Survey of Graph Neural Networks and Applications

Table 3

Example of spatial graph neural networks.

Convolution approach	Neighbor node selection	Order of neighbors	Kernel parameters
GNN	Random walk	Ordered	Not shared
GraphSAGE	Uniform sampling	Disordered	Shared
GAT	First-order neighbor node	Disordered	Shared
PGC	Sampling function	Determined by weight functions	Determined by weight functions