Question 12
Which of the following statements about GraphSAGE and GAT (Graph Attention Network) is true?
GraphSAGE uses attention mechanisms to aggregate information from neighboring nodes
GraphSAGE is a node-level representation learning algorithm, while GAT is an edge-level representation learning algorithm
GAT assigns different importance weights to neighboring nodes during aggregation based on their relevance to the target node
GraphSAGE is a edge-level representation learning algorithm, while GAT is an node-level representation learning algorithm