Attention mechanism is a type of neural network structure that allow neighbors of a nodes have different aggregation weight through training and node-neighbor interaction. For example, Graph Attention Network (GAT) let node neighbors learn different weights, then aggregate node neighbors’ feature to obtain center node feature using learned weights.