GNN (Graph Neural Network)

  • 화학구조물 같은 그래프를 다룰 때의 신경망 모델
  • 노드(node)와 간선(edge)이 있는 그래프에서 노드가 무엇에 해당하는지 알기 위함이 기본
  • 노드는 서로 연결되어 있으므로, 이를 맞추기 위해서 정보를 얻을수 있는것들이 있으며, 간단히 아래와 같은 식으로 표현
좌항이 노드임베딩이라면, f()안의 변수는 차례대로 노드피처, 엣지피처, 이웃노드임베딩, 이웃노드피처
  • 기본적인 머신러닝과 다른점은 x만 있는것이 아니고, 구조적으로 이웃노드와 엣지로부터의 정보도 이용할수 있다는 점.

24 thoughts on “GNN (Graph Neural Network)

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