GraphSAGE
2000년 도입 · 논문 132편에서 사용
GraphSAGE is a general inductive framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data. Image from: Inductive Representation Learning on Large Graphs
출처: Inductive Representation Learning on Large Graphs
소개 논문: Inductive Representation Learning on Large Graphs
Graph Models · Graphs