GraphSAGE, or Graph Sample and Aggregation, is a framework designed to perform inductive learning on large graphs by generating embeddings for nodes. It effectively captures the relationships and features of nodes by sampling and aggregating information from a node's neighbors. This method is particularly useful in applications involving social networks and web search, where the graph structure plays a critical role in understanding user interactions and relationships.
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