Table 2. The main features of different GNN models.

GNN models	Main features
GNN (Scarselli et al., 2009)	Fixed-point iteration method
	The same parameters are used in feature aggregation
GCN (Bruna et al., 2013)	Aggregation based on degree matrix and adjacency matrix
	More advanced operations to extract node information
GraphSAGE (Hamilton, Ying & Leskovec, 2017)	Mini batch training
	Three aggregator, mean, LSTM and pooling
GAT (Veličković et al., 2017)	Adding attention mechanism of transformer
	More interpretable information