Posts Graph Neural Networks(GNN) Basic (GCN, GraphSAGE, GAT)
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Graph Neural Networks(GNN) Basic (GCN, GraphSAGE, GAT)

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데이터사이언스랩 2021년 2월 18일 (목) 심화세션 “GNN 이론”을 위해서 작성한 게시물입니다. GNN 관련 여러 게시물1과 강의2 를 참고하여 만들었습니다.

이번 게시물에서는 GCN, GraphSAGE, GAT을 위주로 살펴보도록 하겠습니다.

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DSL_210218_GNN_001

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DSL_210218_GNN_001

DSL_210218_GNN_001

DSL_210218_GNN_001

DSL_210218_GNN_001

DSL_210218_GNN_001

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DSL_210218_GNN_001

DSL_210218_GNN_001

DSL_210218_GNN_001

DSL_210218_GNN_001

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DSL_210218_GNN_001

DSL_210218_GNN_001

DSL_210218_GNN_001

DSL_210218_GNN_001

DSL_210218_GNN_001

DSL_210218_GNN_001

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DSL_210218_GNN_001

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DSL_210218_GNN_001

References

  1. https://youtu.be/YL1jGgcY78U 

  2. http://web.stanford.edu/class/cs224w/ 

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