Conceitos Básicos
SSA-GCNは、意味情報と構造情報を統合し、グラフ畳み込みネットワークの性能を向上させる。
Estatísticas
知識グラフ埋め込みアルゴリズムTransEやnode2vecアルゴリズムなどが使用されています。
Citações
"Graph neural networks emerge as a promising approach, leveraging deep learning techniques to process graph data, automatically extracting features, and performing graph classification."
"Our experiments on the Cora and CiteSeer datasets demonstrate the performance improvements achieved by our proposed method."